We are happy to announce the availability of Red Hat JBoss Data Virtualization (JDV) 6.3 image running on OpenShift.
JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. JDV makes data spread across physically diverse systems such as multiple databases, XML files, and Hadoop systems appear as a set of tables in a local database.
When deployed on OpenShift, JDV enables:
Continue reading “Announcement: Red Hat JBoss Data Virtualization on OpenShift now available”
Welcome to this first episode of this series: “Unlock your [….] data with Red Hat JBoss Data Virtualization (JDV).”
This post will guide you through an example of connecting to a Hadoop source via the Hive2 driver, using Teiid Designer. In this example we will demonstrate connection to a local Hadoop source. We’re using the Hortonworks 2.5 Sandbox running in Virtual Box for our source, but you can connect to another Hortonwork source if you wish using the same steps.
Hortonworks provides Hive JDBC and ODBC drivers that let you connect popular tools to query, analyze and visualize data stored within the Hortonworks Data Platform (HDP).
Note: we support HBase as well, stay tuned for an episode of Unlock your HBase data with Hortonworks and JDV.
Continue reading “Unlock your Hadoop data with Hortonworks and Red Hat JBoss Data Virtualization”
Database Trends and Applications magazine (DBTA) announced its 2016 Readers’ Choice Award winners recently, and Red Hat JBoss Data Virtualization was named winner in the category Best Data Virtualization Solution. Furthermore, Red Hat was among the DBTA 100 list of companies that matter in data, compelling us to pause and reflect on the market changes taking place.
Continue reading “Red Hat JBoss Data Virtualization 6.3 wins Database Trends and Applications Reader Choice 2016 Award for Best Data Virtualization Solution.”
We are happy to announce the availability of Red Hat JBoss Data Virtualization (JDV) 6.3 GA. JDV 6.3 release focuses on three areas:
- In-memory technologies for Big Data processing
- Development and deployment productivity
- Big Data and Cloud data sources
Continue reading “What's new in Red Hat JBoss Data Virtualization 6.3”