It’s not too hard to find use cases for Hadoop, but many seem to focus on how Internet companies use Big Data. That’s great if you’re LinkedIn, CBS Interactive or Four Square, but what about the rest of us?
What do you do with Hadoop if you’re the CIO of a more traditional enterprise IT division?
I’ve been reading a lot about this while researching “7 Enterprise-Friendly Ways of Dealing with Big Data,” from our sister site, Enterprise Apps Today.
I found two common Hadoop uses that could be deployed by any IT department in any industry while researching that article. Since writing it, I’ve found more great examples of how CIOs can use Hadoop with existing systems, for a total of eight ways any IT division can use Hadoop:
1. As a staging layer for analytics. In this scenario, the data is processed and filtered in Hadoop clusters, then fed downstream to a traditional large data warehouse, OLAP cubes or an in-memory analytics platform.
2. As supplemental storage for an enterprise data warehouse platform. You can use Hadoop clusters as a staging layer for storage behind an EDW or data mart. In fact, Hive is an example of a data warehouse infrastructure that’s built on top of Hadoop clusters.
3. As an acquisition and staging layer for unstructured content. This is one way companies are using Hadoop to filter through social media “noise” to find the good stuff that’s worth knowing about. To do that, you’ll need to couple Hadoop with a sentiment engine.
Tomorrow, I’ll share the next five.