Bridging the MapReduce Skills Gap

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Data is exploring at large organization. So is the adoption of Hadoop. Hadoop’s potential cost effectiveness and facility for accepting unstructured data is making it central to modern, “Big Data” architectures. Yet, a significant obstacle to Hadoop adoption has been a shortage of skilled MapReduce coders.

For organizations eager to make Hadoop part of their data ecosystem, but intimidated by the prospect of finding or developing MapReduce skills you want to learn more about YARN.

Get the white paper on Bridging the Big Data Skills Gap from the insideBIGDATA White Paper Library. 

Mapreduce skills gapYARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform, unlocking an entirely new approach to analytics. It is the foundation of the new generation of Hadoop and is enabling organizations everywhere to realize a modern data architecture.

This new white paper from RedPoint highlight some of the adoption challenges that exist and explains how YARN helps organizations accelerate their work with Hadoop.


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