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SQL-on-Hadoop platforms open brave new analytics world
This article is part of the Business Information issue of February 2016, Volume 4, Number 1
Hadoop gets a lot of attention, but the big data framework's entry into the IT mainstream has been slow -- only 10% of respondents to a 2015 Gartner survey were using it in production applications. One of the gating factors is the complexity of programming in its companion environment, MapReduce. But emerging SQL-on-Hadoop query engines offer a potential gateway to broader Hadoop use. Here are three key points to keep in mind about SQL-on-Hadoop platforms: SQL programmers could be the cavalry coming to Hadoop's rescue. Thus far, Hadoop has largely been the province of programmers with advanced skills writing MapReduce programs in Java. There aren't enough of those programmers to go around, and it costs a lot to hire and keep them. Integrating SQL, the standard programming language for relational databases, with Hadoop opens it up for use by the armies of developers and data analysts that are steeped in SQL know-how and already encamped inside most organizations. Batch jobs are no longer the only game in town. MapReduce only ...
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