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Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

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Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru, Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.

Created by Tao W., James Lee, Level Up

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What Will I Learn?
  • An overview of the architecture of Apache Spark.
  • Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
  • Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
  • Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
  • Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
  • Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
  • Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
  • Best practices of working with Apache Spark in the field.
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