New Release of Red Hat JBoss Data Virtualization.

Red Hat is proud to announce the release of JBoss Data Virtualization (JDV) 6.4

Overview

JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, delivering the right data, in the required form, at the right time to any application and/or user.

JDV 6.4 Features

The JBoss Data Virtualization 6.4 release focuses on supporting new and updating existing cloud, big data, and in-memory data sources.

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JBoss Data Virtualization: Integrating with Impala on Cloudera

Cloudera Impala is a tool to rapidly query Hadoop data in HBase or HDFS using SQL syntax.  You can use Red Hat JBoss Data Virtualization to query that same data via Impala to take advantage of its optimization. You can also combine that data with other data sources in real time.  The goal of this guide is to import data from a Cloudera Impala instance, manipulate it, and then expose that data as a data service.  This guide includes access to a repository with example scripts, creating a custom base and view model, exposing it as a data service, and finally consuming that data via REST. This is a peer article to Unlock Your Cloudera Data with Red Hat JBoss Data Virtualization.

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JBoss Data Virtualization on OpenShift: Integrating a Remote SQL Server Database

This example shows how on OpenShift to use a custom database driver to connect to an external database, through a Virtual Database (aka VDB). For this example, we will use a Microsoft SQL Server database (believe it or not, running on a Linux container), and the latest SQL Server JDBC driver.

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Unlock Your Cloudera Data with Red Hat JBoss Data Virtualization

After Unlock your Hadoop data with Hortonworks and Red Hat JBoss Data Virtualization episode, let’s continue the journey with another “Apache Hadoop” episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.

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Unlock your Microsoft Excel data with Red Hat JBoss Data Virtualization

After Unlock your MariaDB/MySQL data, Unlock your PostgreSQL data, and Unlock your Hadoop data with Hortonworks episodes, let’s continue the journey with this new episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.

JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. It 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. By providing the following functionality, JDV enables agile data use:

  1. Connect: Access data from multiple, heterogeneous data sources.
  2. Compose: Easily combine and transform data into reusable, business-friendly virtual data models and views.
  3. Consume: Makes unified data easily consumable through open standards interfaces.

It hides complexities, like the true locations of data or the mechanisms required to access or merge it. Data becomes easier for developers and users to work with.

This post will guide you step-by-step on how to connect JDV to a Microsoft Excel spreadsheet using Teiid Designer and the Microsoft Excel translator. A translator acts as the bridge between JBoss Data Virtualization and an external system. The Microsoft Excel translator provides a quick and easy way to read a Microsoft Excel spreadsheet and provides contents of the spreadsheet in the tabular form that can be integrated with other sources.

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