Mike Pearce summarizing a presentation about problems where Hadoop can be a good fit:
- Modeling True Risk
- Customer Churn Analysis
- Recommendation engines
- Ad Targeting
- Point of Sale Transaction Analysis
- Analyzing Network Data to Predict Failure
- Thread Analysis/Fraud Detection
- Trade Surveillance
- Search Quality
- Data “Sandbox”
As you can see, most of these boil down to “Aggregate Data, Score Data, Present Score As Rank”, which, at it’s simplest, is what Hadoop can do.
If you need more ideas, just check the research published on the dating site OkCupid ☞ blog.
Original title and link for this post: Hadoop: 10 Problems That Can Use Hadoop (published on the NoSQL blog: myNoSQL)