Taming Big Data with Apache Spark 3 and Python - Hands On!

Taming Big Data with Apache Spark 3 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
• English
• English, French [Auto-generated], 3 more

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What you'll learn

• Use DataFrames and Structured Streaming in Spark 3
• 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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