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NetApp Insight Las Vegas 2016
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57151-2 - NetApp Hadoop/Spark Solutions Portfolio: Use Cases and Performance

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Session Description

This session looks at typical customer analytics-focused use cases and demonstrates how NetApp® Hadoop Solutions using NetApp E-series, fabric-attached storage (FAS), StorageGRID® Web Services and Amazon Web Services (AWS) increase your flexibility and options compared to comparable JBOD Hadoop solutions. Additionally, we focus on a number of other related technologies that are of interest including, but not limited to, Spark, MapReduce, Hive, Pig and Impala, and look at overall performance of these environments using a variety of industry benchmarking tools including BigBench, PAT, TPCx-HS, TPC-DS, PigMix and HiBench. Finally, we focus on measuring the performance impact of common failure scenarios in Hadoop environments such as disk failure, node failure and network behavior; and provide best practices and recommendations for the right Hadoop solutions for a variety of environments.


Additional Information
Understand the performance difference of NetApp® Hadoop solutions and comparable JBOD solutions
Learn how to identify the right NetApp Hadoop solution for your environment
Learn Hadoop best practices and recommendations for optimal performance in a variety of configurations
Big Data Analytics, Hybrid Cloud, Platforms (E/EF-Series)
Intermediate Level - 2
Technical Designer, Architect, Implementer, Operations and Support
Breakout
1 hour
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