Using Big Data with Existing Applications
By Peter Jeffcock-Oracle on Jun 30, 2014
The good news is that data in Hadoop has the potential to guide, inform and improve decision-making and reporting in most organizations. The bad news is that because it’s in Hadoop, it’s not so easy to get access to it and incorporate it into existing enterprise applications without significant rewriting.
SQL is the most popular language for analyzing and querying data. And everybody has caught on, which is why the number of SQL implementations on Hadoop is into double digits and rising (let’s give this statement the benefit of the doubt and call it good news for now). However, these implementations are all different and generally less complete, capable or efficient than what you are used to with the SQL in your data warehouse (definitely bad news).
What you really need is to use the same SQL for querying both your data warehouse and Hadoop (and NoSQL and other data sources while we’re at it). That way your existing applications would get access to data in Hadoop with minimal incremental effort on your part.
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