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Big Data use cases over Hadoop have slowly evolved from batch analytics that rely ...
Big Data use cases over Hadoop have slowly evolved from batch analytics that rely
on long running MapReduce jobs to include more real-time analytics that rely on
quick data retrieval through technologies such as NoSQL and Interactive SQL. With
so many solutions available in the market, how should one go about deciding which
technologies to pick? This session helps the audience answer that question.
The session discusses how enterprise architects can take a holistic approach to real-
time Big Data problems and look at NoSQL and SQL technologies as complementary
pieces of the same puzzle. The session will delve into SQL queries over Hadoop and
the various ways Hadoop NoSQL database and SQL work hand in hand to provide
the best real-time results for the business user. Specifically, technologies such as
Apache HBase and Apache Drill will be discussed.