Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.
Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture
We're collecting more data, from more sources, in more formats. The opportunities to derive insight from all these new sources have exploded, but the essential point is not just to discover, identify, categorize and summarize the data—it is also important to communicate it, and that so often means