ETL

Someone recently asked me about the origin of the Data Virtualization category name. From my unique perspective as the software marketer who drove the term and category’s successful adoption, I enjoyed the chance to share the Data Virtualization category story with them.  And in this blog, I thought…

Save the Children believes every child deserves a future. In the UK and around the world, Save the Children gives children a healthy start in life, the opportunity to learn, and protection from harm. Our mantra is to “do whatever it takes” for children – every day and in times of crisis – to transfo…

I’m thoroughly enjoying the NBA playoffs again this year, in large part because my favorite team is once again in contention for the championship (go Golden State Warriors!). I’ve watched most of their games this season and relish the entertainment the team provides. After many hours of viewership,…

In the recent blog, How Do We Know If We Are Ready for Data Virtualization? we examined the value-add that data virtualization provides, as well as useful tools that organizations can use to assess their data virtualization readiness. In this blog and on-demand webinar, I move from the general to th…

Since helping launch the data virtualization market in 2006, I have interacted with thousands of organizations. A common question across these conversations is “How do we know if we are ready for data virtualization?” What these organizations are really asking is: “When do we know if our existing da…

Like many organizations, Compassion International, has dozens of data sources and thousands of data consumers eager to get answers to their business questions. The difference with Compassion International is that good data directly impacts how well we serve children in poverty around the world. Comp…

Analytics will continue to take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data within and outside the enterprise are analyzed.  — Gartner Big Data will continue to be important, but it’s critical to first understan…

A consequence of the Moore Nielsen prediction is the phenomenon known as Data Gravity: big data is hard to move around, much easier for the smaller applications to come to it. Consider this: it took mankind over 2000 years to produce 2 Exabytes (2×1018 bytes) of data until 2012; now we produce…