Introducing DBVisualizer

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It is difficult for most businesses to effectively use numerous data of information since enterprise data analysis and management is becoming more difficult and complex. With the growing chances of failure and higher stakes at risk, businesses need to choose the proper software application or software tool that will extract insights from the inside information and manage the database of their enterprise.

What is DBVisualizer?

DBVisualizer is designed as a universal database tool to be used by data analysts, database administrators, and software developers. This software application offers a straightforward and all-in-one UI or user interface for enterprise database management. It comes in both a paid professional edition that provides a wider variation of features and a free edition.

Is DBVisualizer an open-source application?

No, it is a proprietary software application.

Will DBVisualizer run on both Linux and Windows?

DBVisualizer is also dubbed as the universal database tool. It implies that it is capable of running on all of the major operating systems. Hence, the DBVisualizer SQL editor runs smoothly on Windows, Linux/UNIX, and macOS.

Which technical roles would use DBVisualizer most?

Technical roles that deal with databases regularly such as database administrators, developers, and analysts require specific aspects that can be of help to make their work easier. With DBVisualizer, developers can access the advanced DBVisualizer SQL editor that includes smart features that are needed in writing queries, avoiding errors, and speeding up the coding process. For analysts, it will be easier and quicker for them to understand and access the data with the insight feature. They can also easily manage and create the database visually. Lastly, database administrators can be assured that data is secured and preserved during sessions with the autosave feature of DBVisualizer. The software application is also highly optimized and customized to fit the workflow of the user.

Databases or databases types that the DBVisualizer supports

  • Db2
  • Exasol
  • Derby
  • Amazon Redshift
  • Informix
  • H2
  • Mimer SQL
  • MariaDB
  • Microsoft SQL Server
  • MySQL
  • Netezza
  • Oracle
  • SAP ASE
  • PostgreSQL
  • NuoDB
  • Snowflake
  • SQLite
  • Vertica
  • IBM DB2 LUW

Databases that are accessible with JDBC (Java Database Connectivity) driver is capable of working or running with DBVisualizer. You can also see DBVisualizer’s official website that some users have successfully used the software with other non-official database systems such as IBM DB2 iSeries, Firebird, Teradata, and Hive. Aside from that, you can also see the list of other databases that will soon be supported by DBVisualizer.

What are the most essential DBVisualizer documentation links?

Here are the following links that can cover the basic downloads to the application and basic information.

DBVisualizer Site

Installer download link for macOS, Windows 64-bit, Windows 32-bit, Linux, and Unix:

DbVisualizer Users Guide

List of features for free and pro version:

Introducing SQuirreL SQL

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The business landscape of today is controlled and influenced by big data and it is also getting bigger and bigger as time goes by. Since the amount of data that is needed to be stored and organized is massive, data workers use SQL to access the information in a relational database. Software applications such as SQL clients can let users create SQL queries, access the database’s information, and view the models of relational databases. One of the most famous and sought out option for SQL clients is the SQuirreL SQL Client.

What is SQuirreL SQL?

It is a client for examining and retrieving SQL databases via a user-friendly and simple graphical user interface (GUI). It can run on any computer that has a Java Virtual Machine (JVM) since SQuirreL SQL is a programming language written in Java. You can download the SQuirreL SQL editor for free and is available in different languages such as English, Chinese, German, Russian, Portuguese, French, and Spanish.

Which technical roles would use SQuirreL SQL most?

SQuirreL SQL is useful and convenient for anyone who works on SQL databases regularly such as software developers, database administrators, application administrators, software testers, etc. For application administrators, they can use SQuirreL SQL to fix a bug at the level of the database. Aside from that, correcting and scanning for incorrect values in a table is easy using SQuirreL SQL. It can also help database administrators in overseeing huge varieties of relational databases, checking problems in tables, manage databases using commands, and viewing metadata.

Is it an open-source application?

SQuirreL SQL Client is a single, open-source graphical front end, Java-written program that enables you to issue SQL commands, perform SQL functions, and view the contents of a database. JDBC-compliant databases are supported by the built graphical front end. It also uses the most popular choice for the open-source software which is the GNU General Public License v2.0.

Will SQuirreL SQL run on both Linux and Windows?

SQuirreL is available under an open-source license and a popular Java written SQL database client. It runs under Microsoft Windows, Linux, and macOS.

Here are the supported databases of SQuirreL SQL:

  • Apache Derby
  • Hypersonic SQL
  • Axion Java RDBMS
  • H2 (DBMS)
  • ClickHouse
  • InterBase
  • Ingres (also OpenIngres)
  • Informix
  • InstantDB
  • IBM DB2 for Windows, Linux, and OS/400
  • Microsoft SQL Server
  • Microsoft Access with the JDBC/ODBC bridge
  • MySQL
  • Mimer SQL
  • Mckoi SQL Database
  • MonetDB
  • Netezza
  • Oracle Database 8i, 9i, 10g, 11g
  • PostgreSQL 7.1.3 and higher
  • Pointbase
  • Sybase
  • SAPDB
  • Sunopsis XML Driver (JDBC Edition)
  • Teradata Warehouse
  • Vertica Analytic Database
  • Firebird with JayBird JCA/JDBC Driver

What are the most essential SQuirreL SQL documentation links?

SQuirreL SQL Universal SQL Client

Install SQuirreL for Linux/Windows/others:

Install SQuirreL for MacOS x:

Install latest snapshots:

Overview of all available downloads:

Introducing DBeaver

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With high data volumes and complex systems, database management is becoming more in-demand in today’s economy. Aside from keeping up with the business, organizations also need to innovate new ideas to progress further in the industry. With the use of database management tools, a web interface is provided for database administrators, allowing SQL queries to run.

What is DBeaver?

DBeaver is an open-source universal management tool that can help anyone in professionally working with their data. It will help you maneuver your data similar to a typical spreadsheet, construct analytical reports of various data storage records, and convey information. Effective SQL-editor, connection sessions monitoring, many administration features, and schema and data migration capabilities are imparted with DBeaver’s user on the advanced database. Aside from its usability, it also supports a wide array of databases.

Here are the other offers of DBeaver:

  • Cloud data sources support
  • Security standard of enterprise support
  • Support of multiplatform
  • Meticulous design and implementation of user interface
  • Can work with other integration extensions

Will it run on both Linux and Windows?

DBeaver is downloadable for Windows 9/8/10, Mac OS X, and Linux. It requires at least Java 1.8 version, and OpenJDK 11 bundle is already included in DBeaver’s MacOS and Windows installer.

Main features of DBeaver

DBeaver main features include:

  • Various data sources connection
  • Edit and view data
  • Advanced security
  • Generate mock-data
  • Built-in SQL editor
  • Builds the visual query
  • Transfer data
  • Compares several database structures
  • Search metadata
  • And generates schema/database ER diagrams.

Which databases or database types does DBeaver support?

More than 80 databases are supported by DBeaver, and it includes some of the well-known databases such as:

  • MySQL
  • Oracle
  • MS Access
  • SQLite
  • Apache Hive
  • DB2
  • PostgreSQL
  • Firebird
  • Presto
  • Phoenix
  • SQL Server
  • Teradata
  • Sybase

What are the most essential documentation links?

Related References

Technology – Understanding Data Model Entities

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Data Modeling is an established technique of comprehensively documenting an application or software system with the aid of symbols and diagrams. It is an abstract methodology of organizing the numerous data elements and thoroughly highlighting how these elements relate to each other. Representing the data requirements and elements of a database gra phically is called an Entity Relationship Diagram, or ERD.

What is an Entity?

Entities are one of the three essential components of ERDs and represent the tables of the database. An entity is something that depicts only one information concept. For instance, order and customer, although related, are two different concepts, and hence are modeled as two separate entities.

A data model entity typically falls in one of five classes – locations, things. events, roles, and concepts. Examples of entities can be vendors, customers, and products. These entities also have some attributes associated with them, which are some of the details that we would want to track about these entities.

A particular example of an entity is referred to as an instance. Instances form the various rows or records of the table. For instance, if there is a table titled ‘students,’ then a student named William Tell will be a single record of the table.

Why Do We Need a Data Model Entity?

Data is often stored in various forms. An organization may store data in XML files, spreadsheets, reports, and relational databases. Such a fragmented data storage methodology can present challenges during application design and data access. Writing maintainable and efficient code becomes all the more difficult when one has to think about easy data access, scalability, and storage. Additionally, moving data from one form to the other is difficult. This is where the Entity Data Model comes in. Describing the data in the form of relationships and entities, the structure of the data becomes independent of the storage methodology. As the application and data evolve, so does the Data Model Entity. The abstract view allows for a much more streamlined method of transforming or moving data.

SQL Server Length Function Equivalent

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The purpose of the Length function in SQL

The SQL LENGTH function returns the number of characters in a string. The LENGTH function is available in many Database Management Systems (DBMS).

The LENGTH Function Syntax

  • LENGTH(string)

LENGTH Function Notes

  • If the input string is empty, the LENGTH returns 0.
  • If the input string is NULL, the LENGTH returns NULL.

Length Function Across Databases

When working as a technical consultant, one has to work with customer’s databases and as you move from one database to another you will find that the function commands may vary–assuming the database has an equivalent function.

Working with VQL and SQL Server got me thing about the LENGTH() function, so, here is a quick references list, which does include the SQL Server.  

IBM DB2

  • LENGTH( )

IBM Informix

  • CHAR_LENGTH() Or CHARACTER_LENGTH()

MariaDB

  • LENGTH( )

Microsoft SQL Server

  • LEN( )

MySQL

  • CHAR_LENGTH() Or CHARACTER_LENGTH()

Netezza

  • LENGTH( )

Oracle

  • LENGTH( )

PostgreSQL

  • CHAR_LENGTH() Or CHARACTER_LENGTH()

SOQL (SalesForce)

  • SOQL has no LENGTH function

VQL (Denodo)

  • LEN( )

What is Data Virtualization?

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Data Virtualization is an information management technique which combines different locations, data format, data structure and/or application data sources into a single “virtual” unifying semantics layer that provides integrated data services to consuming applications or users in real-time.  Basically, data virtualization offers Data as a Service (Daas), providing a centralized point for consumption.

What is a Data Warehouse?

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What is a Data Warehouse

The description of what a data warehouse is varies greatly.  The definition that I give that seems to work is that a data warehouse a database repository that supports system interfaces, reporting and business analysis, data integration and domain normalization, and structure optimization.  The structure can vary greatly depending the school of thought used to construct the data warehouse and will have at least one data mart.

What a data warehouse is:

  • A source of data and enriched information used for reporting and business analysis.
  • A repository of metadata that organizes data into hierarchies used in reporting and analysis

What a data warehouse is not:

  • A reporting application in and of itself; it is used by other applications to provide reporting and analysis.
  • An exact copy of all tables/data in the source systems.  Only those portions of source system tables/data required to support reporting and analysis are moved into data warehouse.
  • An Online Transaction Processing (OLTP) system.
  • An archiving tool.  Data is kept in data warehouse in accordance with the data retention guidelines and/or as long as need to support frequently used reporting and analysis needs.

Why Unit Testing is Important

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Whenever a new application is in development, unit testing is a vital part of the process and is typically performed by the developer. During this process, sections of code are isolated at a time and are systematically checked to ensure correctness, efficiency, and quality. There are numerous benefits to unit testing, several of which are outlined below.

1. Maximizing Agile Programming and Refactoring

During the coding process, a programmer has to keep in mind a myriad of factors to ensure that the final product correct and as lightweight, as is possible for it to be. However, the programmer also needs to make certain that if changes become necessary, refactoring can be safely and easily done.

Unit testing is the simplest way to assist in making for agile programming and refactoring because the isolated sections of code have already been tested for accuracy and help to minimize refactoring risks.

2. Find and Eliminate Any Bugs Early in the Process

Ultimately, the goal is to find no bugs and no issues to correct, right? But unit testing is there to ensure that any existing bugs are found early on so that they can be addressed and corrected before additional coding is layered on. While it might not feel like a positive thing to have a unit test reveal a problem, it’s good that it’s catching the issue now so that the bug doesn’t affect the final product.

3. Document Any and All Changes

Unit testing provides documentation for each section of coding that has been separated, allowing those who haven’t already directly worked with the code to locate and understand each individual section as necessary. This is invaluable in helping developers understand unit APIs without too much hassle.

4. Reduce Development Costs

As one can imagine, fixing problems after the product is complete is both time-consuming and costly. Not only do you have to sort back through a fully coded application’s worth of material, any bugs which may have been compounded and repeated throughout the application. Unit testing helps not only limit the amount of work that needs to be done after the application is completed it also reduces the time it takes to fix errors because it prevents developers from having to fix the same problem more than once.

5. Assists in Planning

Thanks to the documentation aspect of unit testing, developers are forced to think through the design of each individual section of code so that its function is determined before it’s written. This can prevent redundancies, incomplete sections, and nonsensical functions because it encourages better planning. Developers who implement unit testing in their applications will ultimately improve their creative and coding abilities thanks to this aspect of the process.

Conclusion

Unit testing is absolutely vital to the development process. It streamlines the debugging process and makes it more efficient, saves on time and costs for the developers, and even helps developers and programmers improve their craft through strategic planning. Without unit testing, people would inevitably wind up spending far more time on correcting problems within the code, which is both inefficient and incredibly frustrating. Using unit tests is a must in the development of any application.

How to Check Linux Version?

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While researching an old install for an upgrade system requirement compliance, I discovered that I b=need to validate which Linux version was installed.  So, here is a quick note on the command I used to validate which version of Linux was installed.

Command

  • cat /etc/os-release

Example Output of the command “os-release” file

Technology – Why Business Intelligence (BI) needs a Semantic Data Model

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A semantic data model is a method of organizing and representing corporate data that reflects the meaning and relationships among data items. This method of organizing data helps end users access data autonomously using familiar business terms such as revenue, product, or customer via the BI (business intelligence) and other analytics tools. The use of a semantic model offers a consolidated, unified view of data across the business allowing end-users to obtain valuable insights quickly from large, complex, and diverse data sets.

What is the purpose of semantic data modeling in BI and data virtualization?

A semantic data model sits between a reporting tool and the original database in order to assist end-users with reporting. It is the main entry point for accessing data for most organizations when they are running ad hoc queries or creating reports and dashboards. It facilitates reporting and improvements in various areas, such as:

  • No relationships or joins for end-users to worry about because they’ve already been handled in the semantic data model
  • Data such as invoice data, salesforce data, and inventory data have all been pre-integrated for end-users to consume.
  • Columns have been renamed into user-friendly names such as Invoice Amount as opposed to INVAMT.
  • The model includes powerful time-oriented calculations such as Percentage in sales since last quarter, sales year-to-date, and sales increase year over year.
  • Business logic and calculations are centralized in the semantic data model in order to reduce the risk of incorrect recalculations.
  • Data security can be incorporated. This might include exposing certain measurements to only authorized end-users and/or standard row-level security.

A well-designed semantic data model with agile tooling allows end-users to learn and understand how altering their queries results in different outcomes. It also gives them independence from IT while having confidence that their results are correct.

Extraction, Transformation & Loading Vs. Enterprise Application Integration

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Over recent years, business enterprises relying on accurate and consistent data to make informed decisions have been gravitating towards integration technologies. The subject of Enterprise Application Integration (EAI) and Extraction, Transformation & Loading (ETL) lately seems to pop up in most Enterprise Information Management conversations.

From an architectural perspective, both techniques share a striking similarity. However, they essentially serve different purposes when it comes to information management. We’ve decided to do a little bit of research and establish the differences between the two integration technologies.

Enterprise Application Integration

Enterprise Application Integration (EAI) is an integration framework that consists of technologies and services, allowing for seamless coordination of vital systems, processes, as well as databases across an enterprise.

Simply put, this integration technique simplifies and automates your business processes to a whole new level without necessarily having to make major changes to your existing data structures or applications.

With EAI, your business can integrate essential systems like supply chain management, customer relationship management, business intelligence, enterprise resource planning, and payroll. Well, the linking of these apps can be done at the back end via APIs or the front end GUI.

The systems in question might use different databases, computer languages, exist on different operating systems or older systems that might not be supported by the vendor anymore.

The objective of EAI is to develop a single, unified view of enterprise data and information, as well as ensure the information is correctly stored, transmitted, and reflected. It enables existing applications to communicate and share data in real-time.

Extraction, Transformation & Loading

The general purpose of an ETL system is to extract data out of one or more source databases and then transfer it to a target destination system for better user decision making. Data in the target system is usually presented differently from the sources.

The extracted data goes through the transformation phase, which involves checking for data integrity and converting the data into a proper storage format or structure. It is then moved into other systems for analysis or querying function.

With data loading, it typically involves writing data into the target database destination like data warehouse and operational data store.

ETL can integrate data from multiple systems. The systems we’re talking about in this case are often hosted on separate computer hardware or supported by different vendors.

Differences between ETL and EAI

EAI System

  • Retrieves small amounts of data in one operation and is characterized by a high number of transactions
  • EAI system is utilized for process optimization and workflow
  • The system does not require user involvement after it’s implemented
  • Ensures a bi-directional data flow between the source and target applications
  • Ideal for real-time business data needs
  • Limited data validation
  • Integrating operations is pull, push, and event-driven.

ETL System

  • It is a one-way process of creating a historical record from homogeneous or heterogeneous sources
  • Mainly designed to process large batches of data from source systems
  • Requires extensive user involvement
  • Meta-data driven complex transformations
  • Integrating operation is a pull, query-driven
  • Supports proper profiling and data cleaning
  • Limited messaging capabilities

Both integration technologies are an essential part of EIM, as they provide strong capabilities for business intelligence initiatives and reporting. They can be used differently and sometimes in mutual consolidation.

Technology – Personas Vs. Roles – What Is The Difference?

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Personas and roles are user modeling approaches that are applied in the early stages of system development or redesign. They drive the design decision and allows programmers and designers to place everyday user needs at the forefront of their system development journey in a user-centered design approach.

Personas and user roles help improve the quality of user experience when working with products that require a significant amount of user interaction. But there is a distinct difference between technology personas vs. roles. What then exactly is a persona? What are user roles in system development? And, how does persona differ from user roles?

Let’s see how these two distinct, yet often confused, user models fit in a holistic user-centered design process and how you can leverage them to identify valuable product features.

Technology Personas Vs. Roles – The Most Relevant Way to Describe Users

In software development, a user role describes the relationship between a user type and a software tool. It is generally the user’s responsibility when using a system or the specific behavior of a user who is participating in a business process. Think of roles as the umbrella, homogeneous constructs of the users of a particular system. For instance, in an accounting system, you can have roles such as accountant, cashier, and so forth.

However, by merely using roles, system developers, designers, and testers do not have sufficient information to conclusively make critical UX decisions that would make the software more user-centric, and more appealing to its target users.

This lack of understanding of the user community has led to the need for teams to move beyond role-based requirements and focus more on subsets of the system users. User roles can be refined further by creating “user stand-ins,” known as personas. By using personas, developers and designers can move closer to the needs and preferences of the user in a more profound manner than they would by merely relying on user roles.

In product development, user personas are an archetype of a fictitious user that represents a specific group of your typical everyday users. First introduced by Alan Cooper, personas help the development team to clearly understand the context in which the ideal customer interacts with a software/system and helps guide the design decision process.

Ideally, personas provide team members with a name, a face, and a description for each user role. By using personas, you’re typically personalizing the user roles, and by so doing, you end up creating a lasting impression on the entire team. Through personas, team members can ask questions about the users.

The Benefits of Persona Development

Persona development has several benefits, including:

  • They help team members have a consistent understanding of the user group.
  • They provide stakeholders with an opportunity to discuss the critical features of a system redesign.
  • Personas help designers to develop user-centric products that have functions and features that the market already demands.
  • A persona helps to create more empathy and a better understanding of the person that will be using the end product. This way, the developers can design the product with the actual user needs in mind.
  • Personas can help predict the needs, behaviors, and possible reactions of the users to the product.

What Makes Up a Well-Defined Persona?

Once you’ve identified user roles that are relevant to your product, you’ll need to create personas for each. A well-defined persona should ideally take into consideration the needs, goals, and observed behaviors of your target audience. This will influence the features and design elements you choose for your system.

The user persona should encompass all the critical details about your ideal user and should be presented in a memorable way that everyone in the team can identify with and understand. It should contain four critical pieces of information.

1. The header

The header aid in improving memorability and creating a connection between the design team and the user. The header should include:

  • A fictional name
  • An image, avatar or a stock photo
  • A vivid description/quote that best describes the persona as it relates to the product.

2. Demographic Profile

Unlike the name and image, which might be fictitious, the demographic profile includes factual details about the ideal user. The demographic profile includes:

  • Personal background: Age, gender, education, ethnicity, persona group, and family status
  • Professional background: Occupation, work experience, and income level.
  • User environment. It represents the social, physical, and technological context of the user. It answers questions like: What devices do the user have? Do they interact with other people? How do they spend their time?
  • Psychographics: Attitudes, motivations, interests, and user pain points.

3. End Goal(s)

End goals help answer the questions: What problems or needs will the product solution to the user? What are the motivating factors that inspire the user’s actions?

4. Scenario

This is a narrative that describes how the ideal user would interact with your product in real-life to achieve their end goals. It should explain the when, the where, and the how.

Conclusion

For a truly successful user-centered design approach, system development teams should use personas to provide simple descriptions of key user roles. While a distinct difference exists in technology personas vs. roles, design teams should use the two user-centered design tools throughout the project to decide and evaluate the functionality of their end product. This way, they can deliver a useful and usable solution to their target market.

Technology – Denodo SQL Type Mapping

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denodo 7.0 saves some manual coding when building the ‘Base Views’ by performing some initial data type conversions from ANSI SQL type to denodo Virtual DataPort data types. So, where is a quick reference mapping to show to what the denodo Virtual DataPort Data Type mappings are:

ANSI SQL types To Virtual DataPort Data types Mapping

ANSI SQL TypeVirtual DataPort Type
BIT (n)blob
BIT VARYING (n)blob
BOOLboolean
BYTEAblob
CHAR (n)text
CHARACTER (n)text
CHARACTER VARYING (n)text
DATElocaldate
DECIMALdouble
DECIMAL (n)double
DECIMAL (n, m)double
DOUBLE PRECISIONdouble
FLOATfloat
FLOAT4float
FLOAT8double
INT2int
INT4int
INT8long
INTEGERint
NCHAR (n)text
NUMERICdouble
NUMERIC (n)double
NUMERIC (n, m)double
NVARCHAR (n)text
REALfloat
SMALLINTint
TEXTtext
TIMESTAMPtimestamp
TIMESTAMP WITH TIME ZONEtimestamptz
TIMESTAMPTZtimestamptz
TIMEtime
TIMETZtime
VARBITblob
VARCHARtext
VARCHAR ( MAX )text
VARCHAR (n)text

ANSI SQL Type Conversion Notes

  • The function CAST truncates the output when converting a value to a text, when these two conditions are met:
  1. You specify a SQL type with a length for the target data type. E.g. VARCHAR(20).
  2. And, this length is lower than the length of the input value.
  • When casting a boolean to an integertrue is mapped to 1 and false to 0.

Related References

denodo 8.0 / User Manuals / Virtual DataPort VQL Guide / Functions / Conversion Functions

Technology – Analytics Model Types

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Every day, businesses are creating around 2.5 quintillion bytes of data, making it increasingly difficult to make sense and get valuable information from this data. And while this data can reveal a lot about customer bases, users, and market patterns and trends, if not tamed and analyzed, this data is just useless. Therefore, for organizations to realize the full value of this big data, it has to be processed. This way, businesses can pull powerful insights from this stockpile of bits.

And thanks to artificial intelligence and machine learning, we can now do away with mundane spreadsheets as a tool to process data. Through the various AI and ML-enabled data analytics models, we can now transform the vast volumes of data into actionable insights that businesses can use to scale operational goals, increase savings, drive efficiency and comply with industry-specific requirements.

We can broadly classify data analytics into three distinct models:

  • Descriptive
  • Predictive
  • Prescriptive

Let’s examine each of these analytics models and their applications.

Descriptive Analytics. A Look Into What happened?

How can an organization or an industry understand what happened in the past to make decisions for the future? Well, through descriptive analytics.

Descriptive analytics is the gateway to the past. It helps us gain insights into what has happened. Descriptive analytics allows organizations to look at historical data and gain actionable insights that can be used to make decisions for “the now” and the future, upon further analysis.

For many businesses, descriptive analytics is at the core of their everyday processes. It is the basis for setting goals. For instance, descriptive analytics can be used to set goals for a better customer experience. By looking at the number of tickets raised in the past and their resolutions, businesses can use ticketing trends to plan for the future.

Some everyday applications of descriptive analytics include:

  • Reporting of new trends and disruptive market changes
  • Tabulation of social metrics such as the number of tweets, followers gained over some time, or Facebook likes garnered on a post.
  • Summarizing past events such as customer retention, regional sales, or marketing campaigns success.

To enhance their decision-making capabilities businesses have to reduce the data further to allow them to make better future predictions. That’s where predictive analytics comes in.

Predictive Analytics takes Descriptive Data One Step Further

Using both new and historical data sets predictive analytics to help businesses model and forecast what might happen in the future. Using various data mining and statistical algorithms, we can leverage the power of AI and machine learning to analyze currently available data and model it to make predictions about future behaviors, trends, risks, and opportunities. The goal is to go beyond the data surface of “what has happened and why it has happened” and identify what will happen.

Predictive data analytics allows organizations to be prepared and become more proactive, and therefore make decisions based on data and not assumptions. It is a robust model that is being used by businesses to increase their competitiveness and protect their bottom line.

The predictive analytics process is a step-by-step process that requires analysts to:

  • Define project deliverables and business objectives
  • Collect historical and new transactional data
  • Analyze the data to identify useful information. This analysis can be through inspection, data cleaning, data transformation, and data modeling.
  • Use various statistical models to test and validate the assumptions.
  • Create accurate predictive models about the future.
  • Deploy the data to guide your day-to-data actions and decision-making processes.
  • Manage and monitor the model performance to ensure that you’re getting the expected results.

Instances Where Predictive Analytics Can be Used

  • Propel marketing campaigns and reach customer service objectives.
  • Improve operations by forecasting inventory and managing resources optimally.
  • Fraud detection such as false insurance claims or inaccurate credit applications
  • Risk management and assessment
  • Determine the best direct marketing strategies and identify the most appropriate channels.
  • Help in underwriting by predicting the chances of bankruptcy, default, or illness.
  • Health care: Use predictive analytics to determine health-related risk and make informed clinical support decisions.

Prescriptive Analytics: Developing Actionable Insights from Descriptive Data

Prescriptive analytics helps us to find the best course of action for a given situation. By studying interactions between the past, the present, and the possible future scenarios, prescriptive analytics can provide businesses with the decision-making power to take advantage of future opportunities while minimizing risks.

Using Artificial Intelligence (AI) and Machine Learning (ML), we can use prescriptive analytics to automatically process new data sets as they are available and provide the most viable decision options in a manner beyond any human capabilities.

When effectively used, it can help businesses avoid the immediate uncertainties resulting from changing conditions by providing them with fact-based best and worst-case scenarios. It can help organizations limit their risks, prevent fraud, fast-track business goals, increase operational efficiencies, and create more loyal customers.

Bringing It All Together

As you can see, different big data analytics models can help you add more sense to raw, complex data by leveraging AI and machine learning. When effectively done, descriptive, predictive, and prescriptive analytics can help businesses realize better efficiencies, allocate resources more wisely, and deliver superior customer success most cost-effectively. But ideally, if you wish to gain meaningful insights from predictive or even prescriptive analytics, you must start with descriptive analytics and then build up from there.

Descriptive vs Predictive vs Prescriptive Analytics

Windows – Host File Location

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Occasionally, I need to update the windows hosts files, but I seem to have a permanent memory block where the file is located. I have written the location into numerous documents, however, every time I need to verify and or up the host file I need to look up the path. Today, when I went to look it up I discovered that I had not actually posted it to this blog site. So, for future reference, I am adding it now.

Here is the path of the Windows Hosts file, the drive letter may change depending on the drive letter on which the Windows install was performed.

C:WINDOWSsystem32driversetc

Technology – Denodo Data Virtualization Project Roles

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A Denodo virtualization project typically classifies the project duties of the primary implementation team into four Primary roles.

Denodo Data Virtualization Project Roles

  • Data Virtualization Architect
  • Denodo Platform Administrator
  • Data Virtualization Developer
  • Denodo Platform Java Programmer
  • Data Virtualization Internal Support Team

Role To Project Team Member Alignment

While the denodo project is grouped into security permissions and a set of duties, it is import to note that the assignment of the roles can be very dynamic as to their assignment among project team members.  Which team member who performs a given role can change the lifecycle of a denodo project.  One team member may hold more than one role at any given time or acquire or lose roles based on the needs of the project.

Denodo virtualization Project Roles Duties

Data Virtualization Architect

The knowledge, responsibilities, and duties of a denodo data virtualization architect, include:

  • A Deep understanding of denodo security features and data governance
  • Define and document5 best practices for users, roles, and security permissions.
  • Have a strong understanding of enterprise data/information assets
  • Defines data virtualization architecture and deployments
  • Guides the definition and documentation of the virtual data model, including, delivery modes, data sources, data combination, and transformations

Denodo Platform Administrator

The knowledge, responsibilities, and duties of a Denodo Platform Administrator, Include:

  • Denodo Platform Installation and maintenance, such as,
    • Installs denodo platform servers
    • Defines denodo platform update and upgrade policies
    • Creates, edits, and removes environments, clusters, and servs
    • Manages denodo licenses
    • Defines denodo platform backup policies
    • Defines procedures for artifact promotion between environments
  • Denodo platform configuration and management, such as,
    • Configures denodo platform server ports
    • Platform memory configuration and Java Virtual Machine (VM) options
    • Set the maximum number of concurrent requests
    • Set up database configuration
      • Specific cache server
      • Authentication configuration for users connecting to denodo platform (e.g., LDAP)
      • Secures (SSL) communications connections of denodo components
      • Provides connectivity credentials details for clients tools/applications (JDBC, ODBC,,,etc.)
      • Configuration of resources.
    • Setup Version Control System (VCS) configuration for denodo
    • Creates new Virtual Databases
    • Create Users, roles, and assigns privileges/roles.
    • Execute diagnostics and monitoring operations, analyzes logs and identifies potentials issues
    • Manages load balances variables

Data Virtualization Developer

The Data Virtualization Developer role is divided into the following sub-roles:

  • Data Engineer
  • Business Developer
  • Application Developer

the knowledge, responsibilities, and duties of a Denodo Data Virtualization Developer, by sub-role, Include:

Data Engineer

The denodo data engineer’s duties include:

  • Implements the virtual data model construction view by
    • Importing data sources and creating base views, and
    • Creating derived views applying combinations and transformations to the datasets
  • Writes documentation, defines testing to eliminate development errors before code promotion to other environments

Business Developer

The denodo business developer’s duties include:

  • Creates business vies for a specific business area from derived and/or interface views
  • Implements data services delivery
  • Writes documentation

Application Developer

The denodo application developer’s duties include:

  • Creates reporting vies from business views for reports and or datasets frequently consumed by users
  • Writes documentation

Denodo Platform Java Programmer

The Denodo Platform Java Programmer role is an optional, specialized, role, which:

  • Creates custom denodo components, such as data sources, stored procedures, and VDP/iTPilot functions.
  • Implements custom filters in data routines
  • Tests and debugs any custom components using Denodo4e

Data Virtualization Internal Support Team

The denodo data virtualization internal support team’s duties include

  • Access to and knowledge of the use and trouble of developed solutions
  • Tools and procedures to manage and support project users and developers

Are Information Technology Skill Badges Valuable?

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Information Technology (IT) Skill badges are becoming more prevalent in the information technology industry, but do they add value?  I will be in the past I have only bothered with certifications where my clients or my employer thought they were valuable.  At some point in your career experience should mean more tests and training.  So, perhaps is time to consider the potential value of IT Skills badges (Mini-certification) and the merits behind them.

What Are Information Technology (IT) Skills Badge?

IT Skills badges are recognized as mini-certification, which are portable. IT Skills badges are achieved when an individual completes a project, completes a course, or make a distinguished contribution towards code repository on either GitHub or elsewhere. When a person earns this kind of certification, the IT Skills badges can be stored in a digital wallet. An individual can use it by either including it to his/her LinkedIn profile or website. The issuer has the authority of editing the badges. This feature is designed to bolster credibility.

Research shows that many IT job applicants show badges as an added advantage in his/her skills. IT skills badge are not a sure bet in job hunting that an applicant will land on that particular job because most job recruiters don’t focus on them.

Many IT industries want validated skills before hiring an applicant. IT Skills badges are complementary to certificates, but IT Skills badges can’t in any way replace certifications. Individuals with convectional certifications have high chances of landing on premium pay. As a result, badges don’t ensure the owner a pay boot in his/her job.

How Do IT Skills Badges Differ From A Certification?

Certifications are considered evidence by many of an individual’s skills. Does this mean that any other credential systems aren’t necessary for proving your skills? IBM’s study shows that technology is growing at a faster rate in areas like artificial intelligence, big data, and machine learning and the updating and creation of certifications can lag because of the time required to update or developing certifications is lengthy.

Another difference when it comes to comparison between IT Skill Badges and certification is that certifications are seen to be more expensive to both employers and employees. It is costly to achieve certification, and a lot of study time and books may be required. An in-depth done survey shows that employers are willing to pay a good portion to the right certification. Certificate value is drastically increasing value yearly as compared to badges.

Clients of IT companies consider engaging in a contract with the company after making sure that the company has a specific number of employees with specified certifications. IT Skills badges are at a disadvantage for hiring consideration. Most hiring managers, the likes of Raxter Company, don’t know the benefit of badges or even what IT Skills badges can do with IT Skills badges. IT Skills badges are new in the market; hence, most employers have little information about IT Skills badges. For instance, an applicant who in the past years has worked for IBM Company presents an IBM badge to Raxter interview panel, and the panel will not know what it means.

In the case of Grexo Technology Group’s CEO, Bobby Yates, IT services Company in Texas doesn’t know the apparent value of IT skills badge. He further challenges it by saying that most applicants have presented the badges to him. But he surely doesn’t know the importance of them towards his requirements from the applicants. He further says that he doesn’t consider badges as a valuable hiring tool as compared to certification.

Dupray’s Tremblay, on the other hand, seconds the elimination of badges as an essential tool for hiring by saying that he will not know if the applicant is cheating to him. As a result, he values the certification as a real prove of skills towards IT.

How To Obtain IT Skills Badges

Most Companies’ hiring panels consider IT Skills badges as nothing towards job requirements. But some companies’ managers like O’Farril and others challenge them by finding them worthy when it comes to IT workers investment. CompTIA’s Stanger, on the other hand, backs badges by referring to them as a complement to a basket of certifications, good resumes, and real-world towards job experience. He adds by saying that it is a form of strengthening the education chain. Raxter on his personality considers IT Skills badges as a selling point. As a result, IT Skills badges are essential to present to some recruiters.

The following are the top five tips that will aid an individual towards his carrier advancement in getting the most in IT skills badges.

1. Avoid listing badges which are easily obtained. Anything that can take less than 40 hours to complete it is unworthy of mentioning it in your professional resume.

2. Always consider those courses that directly aline with the type of jobs for which you are applying. IT skills badges that directly complements to your job requirements are worth taking. Irrelevant badges may, to an extent, reduce the chances of being recruited.

3. Make sure to pair the badges attained with your education or real working experience.

4. Don’t insist on the importance behind your badges. Not everybody will like to hear. Real work experience always takes the lead.

5. If you can’t defend your knowledge, experience, and skills or hiring managers will consider unqualified. ITSkill badges and certifications show that you had enough knowledge to pass the qualifications, but employees want people who can and will excel at doing the work as part of a team. requirements

Do IT Skills badges have value in the hiring process?

IT skills complement IT certification and act as an added advantage in hiring panel, mostly when your certification is almost similar to the other candidates. IT Skills badges add some value towards a good resume, real job experience, and certifications. Some recruiters consider IT Skills badges worthy when it comes to the hiring process. Recruiters think them as a selling point.

So it’s essential to take IT Skills badges that relate to your job application to spice your application form. Remember to keep in mind the top five tips when you decide to have one. In other words, IT Skills badges are somehow worthwhile to consider in IT workers investments.

IT skills badge from a social media perspective

Social Media badges are virtual validator of successful completion of a task, skill, or educational objective. IT Skills badges can either be physical or digital depending upon what other people in a particular community value or market. IT Skills badges are more prevalent in a collaborative environment, and social media as well as portals and learning platforms, including team participation, certification, degrees, and project accomplishments.

In conclusion, many IT skills are available for your earnings. To gain more on IT Skills badges, you can visit IBM, Pearson VUE, a global learning company, and others who have partnered in offering IT Skills badges. You will be able to find a range of IT Skills badges from which to choose.

denodo Virtualization – Useful Links

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Here are some denodo Virtualization references, which may be useful.

Reference Name Link
denodo Home Page https://www.denodo.com/en/about-us/our-company
denodo Platform 7.0 Documentation https://community.denodo.com/docs/html/browse/7.0/
denodo Knowledge Base and Best Practices https://community.denodo.com/kb/
denodo Tutorials https://community.denodo.com/tutorials/
denodo Express 7.0 Download https://community.denodo.com/express/download
Denodo Virtual Data Port (VDP) https://community.denodo.com/kb/download/pdf/VDP%20Naming%20Conventions?category=Operation
JDBC / ODBC drivers for Denodo https://community.denodo.com/drivers/
Denodo Governance Bridge – User Manual https://community.denodo.com/docs/html/document/denodoconnects/7.0/Denodo%20Governance%20Bridge%20-%20User%20Manual
Virtual DataPort VQL Guidehttps://community.denodo.com/docs/html/browse/7.0/vdp/vql/introduction/introduction
Denodo Model Bridge – User Manualhttps://community.denodo.com/docs/html/document/denodoconnects/7.0/Denodo%20Model%20Bridge%20-%20User%20Manual
Denodo Connects Manualshttps://community.denodo.com/docs/html/browse/7.0/denodoconnects/index
Denodo Infosphere Governance Bridge – User Manualhttps://community.denodo.com/docs/html/document/denodoconnects/7.0/Denodo%20Governance%20Bridge%20-%20User%20Manual

PostgreSQL – Useful Links

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PostgreSQLUseful Links

Here are some PostgreSQL references, which may be useful.

Reference Type Link
PostgreSQL Home page & Download https://www.postgresql.org/
PostgreSQL Online Documentation https://www.postgresql.org/docs/manuals/
Citus – Scalability and Parallelism Extension https://github.com/citusdata
Free PostgreSQL Training https://www.enterprisedb.com/free-postgres-training
PostgreSQL Wiki https://wiki.postgresql.org/wiki/Main_Page

The Business Industries Using PostgreSQL

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PostgreSQL is an open-source database, which was released in 1996. So, PostgreSQL has been around a long time.   So, among the many companies and industries which know they are using PostgreSQL, many others are using PostgreSQL and don’t know it because it is embedded as the foundation in some other application’s software architecture.  

I hadn’t paid much attaint to PostgreSQL even though it as been on the list leading databases used by business for years.  Mostly I have been focused on the databases my customer were using (Oracle, DB2, Microsoft SQL Server, and MySQL/MariaDB).  However, during a recent meeting I was surprised to learn that io had been using and administering PostrgresSQL embedded as part of another software vendors application, which made me take the time to pay attention to PostgreSQL. Especially, who is using PostgreSQL and what opportunities that may provide for evolving my career? 

The Industries Using PostgreSQL

According to enlyft, the major using the PostgreSQL are Computer Software and Information Technology And services companies.  

  PostgreSQL Consumers Information

Here is the  link to enlyft page, which provides additional information companies and industries using PostgreSQL:

How to get a list of installed InfoSphere Information (IIS) Server products

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Which File contains the list of Installed IIS products?

  • The list of installed products can be obtained from the Version.xml file.

Where is the Version.xml file located?

  • The exact location of the Version.xml document depends on the operating system in use and where IIS was installed to, which is normally the default location of:

For Linux, Unix, or AIX

  • /opt/IBM/InformationServer

For Windows

  • C:IBMInformationServer

How To Get A List Of Oracle Database Schemas?

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Well, this is one of those circumstances, where your ability to answer this question will depend upon your user’s assigned security roles and what you actually want. 

To get a complete list, you will need to use the DBA_ administrator tables to which most of us will not have access.  In the very simple examples below, you may want to add a WHERE clause to eliminate the system schemas from the list, like ‘SYS’ and ‘SYSTEM,’ if you have access to them.

Example Administrator (DBA) Schema List

SELECT distinct OWNER as SCHEMA_NAME

FROM  DBA_OBJECTS

ORDER BY OWNER;

Example Administrator (DBA) Schema List Results Screenshot

Fortunately for the rest of us, there are All user tables, from which we can get a listing of the schemas to which we have access.

Example All Users Schema List

SELECT distinct OWNER as SCHEMA_NAME

FROM    ALL_OBJECTS

ORDER BY OWNER;

Example All Users Schema List Results Screenshot

Related References

Oracle help Center > Database> Oracle > Oracle Database > Release 19

Oracle SQL*Plus Is still Around

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It is funny how you cannot work with some for a while because of newer tools, and then rediscover them, so to speak.  The other day I was looking at my overflow bookshelf in the garage and saw an old book on Oracle SQL*Plus and was thinking, “do I still want or need that book?”. 

In recent years I have been using a variety of other tools when working with oracle. So, I really hadn’t thought about the once ubiquitous Oracle SQL*Plus command-line interface for Oracle databases, which around for thirty-five years or more.  However, I recently needed to do an Oracle 18C database install to enable some training and was pleasantly surprised Oracle SQL*Plus as a menu item. 

Now I have been purposely using Oracle SQL*Plus again to refresh my skills, and I will be keeping my Oracle SQL*Plus: The Definitive Guide, after all. 

How to Determine Your Oracle Database Name

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Oracle provides a few ways to determine which database you are working in.  Admittedly, I usually know which database I’m working in, but recently I did an Oracle Database Express Edition (XE) install which did not goes has expected and I had reason to confirm which database I was actually in when the SQL*Plus session opened.  So, this lead me to consider how one would prove exactly which database they were connected to.  As it happens, Oracle has a few ways to quickly display which database you are connected to and here are two easy ways to find out your Oracle database name in SQL*Plus:

  • V$DATABASE
  • GLOBAL_NAME

Checking the GLOBAL_NAME table

The First method is to run a quick-select against the GLOBAL_NAME table, which. is publicly available to logged-in users of the database

Example GLOBAL_NAME Select Statement

select * from global_name;

Checking the V$DATABASE Variable

The second method is to run a quick-select a V$database. However, not everyone will have access to the V$database variable.

Example V$database Select Statement

select name from V$database;

Linux VI Command – Set Line Number

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The “Set Number” command in the VI (visual instrument) text editor seems may not seem like the most useful command.  However, it is more useful than it appears.  Using the “set number” command is a visual aid, which facilitates navigation within the VI editor. 

To Enable Line Number In the VI Editor

The “set Number” command is used to make display line numbers, to enable line numbers:

  • Press the Esc key within the VI editor, if you are currently in insert or append mode.
  • Press the colon key “:”, which will appear at the lower-left corner of the screen.
  • Following the colon enter “set number” command (without quotes) and press enter.

A column of sequential line numbers will then appear at the left side of the screen. Each line number references the text located directly to the right. Now you will know exactly which line is where and be able to enter a colon and the line number you want to move to and move around the document lines with certainty.

To Disable Line Number In the VI Editor

When you are ready to turn offline numbering, again follow the preceding instructions, except this time, enter the following line at the : prompt:

  • Press the Esc key within the VI editor, if you are currently in insert or append mode.
  • Press the colon key “:”, which will appear at the lower-left corner of the screen.
  • Following the colon enter “set nonumber” command (without quotes) and press enter.

To Make The Line Number Enable When You Open VI:

Normally, vi will forget the setting you’ve chosen once you’ve left the editor. You can, however, make the “set Number” command take effect automatically whenever you use vi on a user/account, enter the “set Number” command as a line in the .exrc file in your home directory.

Technology – Using Logical Data Lakes

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Today, data-driven decision making is at the center of all things. The emergence of data science and machine learning has further reinforced the importance of data as the most critical commodity in today’s world. From FAAMG (the biggest five tech companies: Facebook, Amazon, Apple, Microsoft, and Google) to governments and non-profits, everyone is busy leveraging the power of data to achieve final goals. Unfortunately, this growing demand for data has exposed the inefficiency of the current systems to support the ever-growing data needs. This inefficiency is what led to the evolution of what we today know as Logical Data Lakes.

What Is a Logical Data Lake?

In simple words, a data lake is a data repository that is capable of storing any data in its original format. As opposed to traditional data sources that use the ETL (Extract, Transform, and Load) strategy, data lakes work on the ELT (Extract, Load, and Transform) strategy. This means data does not have to be first transformed and then loaded, which essentially translates into reduced time and efforts. Logical data lakes have captured the attention of millions as they do away with the need to integrate data from different data repositories. Thus, with this open access to data, companies can now begin to draw correlations between separate data entities and use this exercise to their advantage.

Primary Use Case Scenarios of Data Lakes

Logical data lakes are a relatively new concept, and thus, readers can benefit from some knowledge of how logical data lakes can be used in real-life scenarios.

To conduct Experimental Analysis of Data:

  • Logical data lakes can play an essential role in the experimental analysis of data to establish its value. Since data lakes work on the ELT strategy, they grant deftness and speed to processes during such experiments.

To store and analyze IoT Data:

  • Logical data lakes can efficiently store the Internet of Things type of data. Data lakes are capable of storing both relational as well as non-relational data. Under logical data lakes, it is not mandatory to define the structure or schema of the data stored. Moreover, logical data lakes can run analytics on IoT data and come up with ways to enhance quality and reduce operational cost.

To improve Customer Interaction:

  • Logical data lakes can methodically combine CRM data with social media analytics to give businesses an understanding of customer behavior as well as customer churn and its various causes.

To create a Data Warehouse:

  • Logical data lakes contain raw data. Data warehouses, on the other hand, store structured and filtered data. Creating a data lake is the first step in the process of data warehouse creation. A data lake may also be used to augment a data warehouse.

To support reporting and analytical function:

  • Data lakes can also be used to support the reporting and analytical function in organizations. By storing maximum data in a single repository, logical data lakes make it easier to analyze all data to come up with relevant and valuable findings.

A logical data lake is a comparatively new area of study. However, it can be said with certainty that logical data lakes will revolutionize the traditional data theories.

What is a Private Cloud?

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The private cloud concept is running the cloud software architecture and, possibly specialized hardware, within a companies’ own facilities and support by the customer’s own employees, rather than having it hosted from a data center operated by commercial providers like Amazon, IBM Microsoft, or Oracle.

A companies’ private (internal) cloud may be a one or more of these patterns and may be part of a larger hybrid-cloud strategy.

  • Home-Grown, where the company has built its own software and or hardware could infrastructure where the private could is managed entirely by the companies’ resources. 
  • Commercial-Off-The-Self (COTS), where the cloud software and or hardware is purchased from a commercial vendor and install in the companies promises where is it is primarily managed by the companies’ resources with licensed technical support from the vendor.
  • Appliance-Centric, where vendor specialty hardware and software are pre-assembled and pre-optimized, usually on proprietary databases to support a specific cloud strategic.
  • Hybrid-Cloud, which may use some or all of the about approaches and have added components such as:
    • Virtualization software to integrate, private-cloud, public-cloud, and non-cloud information resources into a central delivery architecture.
    • Public/Private cloud where proprietary and customer sensitive information is kept on promise and less sensitive information is housed in one or more public clouds. The Public/Private hybrid-cloud strategy can also be provision temporary short duration increases in computational resources or where application and information development occur in the private cloud and migrated to a public cloud for productionalization.

In the modern technological era, there are a variety of cloud patterns, but this explanation highlights the major aspects of the private cloud concept which should clarify and assist in strategizing for your enterprise cloud.

10 Denodo Data Virtualization Use Cases

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Data virtualization is a data management approach that allows retrieving and manipulation of data without requiring technical data details like where the data is physically located or how the data is formatted at the source.
Denodo is a data virtualization platform that offers more use cases than those supported by many data virtualization products available today. The platform supports a variety of operational, big data, web integration, and typical data management use cases helpful to technical and business teams.
By offering real-time access to comprehensive information, Denodo helps businesses across industries execute complex processes efficiently. Here are 10 Denodo data virtualization use cases.

1. Big data analytics

Denodo is a popular data virtualization tool for examining large data sets to uncover hidden patterns, market trends, and unknown correlations, among other analytical information that can help in making informed decisions. 

2. Mainstream business intelligence and data warehousing

Denodo can collect corporate data from external data sources and operational systems to allow data consolidation, analysis as well as reporting to present actionable information to executives for better decision making. In this use case, the tool can offer real-time reporting, logical data warehouse, hybrid data virtualization, data warehouse extension, among many other related applications. 

3. Data discovery 

Denodo can also be used for self-service business intelligence and reporting as well as “What If” analytics. 

4. Agile application development

Data services requiring software development where requirements and solutions keep evolving via the collaborative effort of different teams and end-users can also benefit from Denodo. Examples include Agile service-oriented architecture and BPM (business process management) development, Agile portal & collaboration development as well as Agile mobile & cloud application development. 

5. Data abstraction for modernization and migration

Denodo also comes in handy when reducing big data sets to allow for data migration and modernizations. Specific applications for this use case include, but aren’t limited to data consolidation processes in mergers and acquisitions, legacy application modernization and data migration to the cloud.

6. B2B data services & integration

Denodo also supports big data services for business partners. The platform can integrate data via web automation. 

7. Cloud, web and B2B integration

Denodo can also be used in social media integration, competitive BI, web extraction, cloud application integration, cloud data services, and B2B integration via web automation. 

8. Data management & data services infrastructure

Denodo can be used for unified data governance, providing a canonical view of data, enterprise data services, virtual MDM, and enterprise business data glossary. 

9. Single view application

The platform can also be used for call centers, product catalogs, and vertical-specific data applications. 

10. Agile business intelligence

Last but not least, Denodo can be used in business intelligence projects to improve inefficiencies of traditional business intelligence. The platform can develop methodologies that enhance outcomes of business intelligence initiatives. Denodo can help businesses adapt to ever-changing business needs. Agile business intelligence ensures business intelligence teams and managers make better decisions in shorter periods.

Related References

Denodo > Data Virtualization Use Cases And Patterns

What is AIX?

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AIX (Advanced Interactive eXecutive) is an operating system developed by IBM for business all across the world that needs data metrics that can keep up with the ever-changing scope of business in today’s world. AIX is a version of UNIX. AIX is designed to work on a number of computer platforms from the same manufacturer. On its launch, the system was designed for IBM’s RT PC RISC workstation.

User interface

AIX was developed with Bourne Shell as the default shell for three versions of the OS. Afterwards, it was changed to KornShell going forward from version 4. The OS uses Common Desktop Environment (CDE) as the default user interface for graphics. The System Management Interface Tool on the OS allows users to access the menu using a hierarchy of commands instead of the command line. 

Compatible systems

The operating system works on a number of hardware platforms. The initial OS was designed for the IBM RT PC and used a microkernel that controlled the mouse, disk drives, keyboard, and display. This allowed users to use all these components between operating systems by the use of a hot key-the alt+tab combination. The OS was also fitted on newer systems such as the IBM PS/2 series, IDM mainframes, AI-64 systems and can also be used with the Apple’s server network. AIX is commonly used on IBM’s 64-bit POWER processor and systems. AIX can run most Linux applications (after recompiling) and has full support for Java 2.

Since its introduction to computer infrastructure, the operating system has undergone a lot of upgrades with five versions released since 2001. The latest version of the software is the AIX 7.2. All of these come with a high tech security system and fast uptimes.

As an operating system AIX has become popular with students who learn quickly by working on AIX projects live. Working professionals have also been attracted by the dependability of the system and the intuitive that is part of its design.

Related References

What is cloud computing? 

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Cloud computing is a service driven model for enabling ubiquitous, convenient, on demand network access to a shared pool computing resources that can be rapidly provisioned and released with minimal administrative effort or service provider interaction.

Related References