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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Data Encapsulation vs. Immutability in Javascript

A while ago, I wrote a fairly long post attempting to shed some light on a few things you can do in your JavaScript classes to enforce the concept of data encapsulation – or data “hiding”. But as soon as I posted it, I got some flak from a friend who is a Clojure programmer. His first comment about the article was this.

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Unlock your PostgreSQL data with Red Hat JBoss Data Virtualization

And here we go for another 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 PostgreSQL database using Teiid Designer. We will connect to a PostgreSQL database using the PostgreSQL JDBC driver.

Continue reading “Unlock your PostgreSQL data with Red Hat JBoss Data Virtualization”

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