3 Steps to Better Hadoop Management

It makes sense to get excited about the possibilities afforded by Apache™ Hadoop® YARN-based applications such as Spark, Storm, Presto and others to provide substantial business value. However, the actual tasks of managing and maintaining the environment should not get short shrift. Without considering best practices to ensure big data system performance and stability, business users will slowly lose faith and trust in Hadoop as a difference maker for the enterprise.

With a goal of increasing big data application adoption, the Hadoop environment must run optimally to meet end-user expectations. Think Big, a Teradata company, runs Hadoop platforms for numerous global customers and has identified three best practices that can help you improve operations.

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