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Data Virtuality Podcast: The World of Data Virtualization

Today’s business world is constantly changing and organizations need to be able to respond as fast as possible in order to maintain their competitive edge. For data teams, this means

Data Mesh: The Comprehensive Overview

What is Data Mesh, what are the benefits, Data Mesh vs Data Fabric, what kind of use cases can be enabled.

The Logical Data Warehouse becomes Data Virtuality Platform

Starting November 12th, 2021, we will rename our data virtualization solution to “Data Virtuality Platform” (former Logical Data Warehouse). This move is in line with our overall strategy to align

Data Virtuality Logical Data Warehouse 2.4

With version 2.4, Data Virtuality runs on the Red Hat WildFly application server and latest Java LTS version for more flexibility and security.

Data Virtuality Logical Data Warehouse 2.3

Data Virtuality 2.3: Column-level data lineage, row-based security and column masking, web business data shop, metadata visibility through JDBC/ODBC

Data Virtuality Logical Data Warehouse 2.1

Data Virtuality Web, Data Virtuality Synch Tool and modular connectors are the main highlights of the Data Virtuality Platform Release 2.1.

Data Virtualization: The Complete Overview

What is data virtualization, what are the advantages and shortcomings, how does it compare to other data integration capabilities.

How To Query MongoDB Databases With Standard SQL Statements

Combining a MongoDB collection with a regular relational database in order to assess it comes with a lot of challenges, especially when it comes to how much time you need

How to use the JSON Datatype in PostgreSQL: A Brief Manual

Learn how to use PostgreSQL’s great functionality to work with JSON objects, including sample data and actual SQL queries.

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