Taming Big Data with Apache Spark and Python - Hands On!

Taming Big Data with Apache Spark and Python - Hands On!

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Taming Big Data with Apache Spark and Python - Hands On!

Taming Big Data with Apache Spark and Python - Hands On!, Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!

Created by Sundog Education by Frank Kane, Frank Kane

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What Will I Learn?
  • Use DataFrames and Structured Streaming in Spark 2
  • Frame big data analysis problems as Spark problems
  • Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN
  • Install and run Apache Spark on a desktop computer or on a cluster
  • Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
  • Implement iterative algorithms such as breadth-first-search using Spark
  • Use the MLLib machine learning library to answer common data mining questions
  • Understand how Spark SQL lets you work with structured data
  • Understand how Spark Streaming lets your process continuous streams of data in real time
  • Tune and troubleshoot large jobs running on a cluster
  • Share information between nodes on a Spark cluster using broadcast variables and accumulators
  • Understand how the GraphX library helps with network analysis problems

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