Technical Product Marketing Manager for JBoss Data Grid and JBoss Data Virtualization.
In this role, I'm responsible for creating and delivering technical marketing assets for technical audiences. Focus areas are blogs, videos, or demos for prospective customers. As a Technical Product Marketing Manager, I have technical sales enablement responsibility, including developing technical training materials, demos, and sales tools that are used by solutions architects, consultants, and partner pre-sales teams. Furthermore helping influence the Red Hat JBoss Data Grid and Red Hat JBoss Data Virtualization product direction by internally communicating requirements and opportunities learned through customer interactions.
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: Service enabling your data Bringing data...
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...
dbta 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. dbta2 We are thankful to be recognized by our peers and proud to be voted the winner in the data virtualization category...
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 The following new features and data source integration were added in support of these themes: In-memory technologies for Big Data processing Apache Spark - Apache Spark is an open source big data processing framework built around speed, ease of use, and...
We are very excited to announce General Availability (GA) of Red Hat JBoss Data Grid (JDG) 7! JDG supercharges today’s modern applications and allows developers to meet tough requirements of high performance, availability, reliability, and elastic scale. JBoss Data Grid is compatible with the existing data tier as well as applications written in any language, using any framework and any platform via multiple APIs such as memcached, HotRod, and REST. Red Hat JBoss Data Grid empowers developers to obtain a...
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