In the first post in this series, I discussed the emergence of NoSQL to address the need to make databases compatible with cloud needs. And in my last blog post, I talked about the dichotomy between smart databases and smart applications. I asked whether we can have smart databases that can scale on the cloud. So now let's talk about why I think the answer is yes.
The big data revolution was substantially powered by Hadoop, initially a combination of a distributed store and the newfangled MapReduce query model. But in recent years, Hadoop has evolved from being the MapReduce alternative to SQL data warehouse technologies into a stack that strongly embraces SQL. In the big data analytics world, there has been a substantial return to SQL.
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