Post on 20-May-2020
Chapter 01: Installing Pyspark and Settingup Your Development Environment
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Chapter 02: Getting Your Big Data into theSpark Environment Using RDDs
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Chapter 03: Big Data Cleaning andWrangling with Spark Notebooks
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Chapter 04: Aggregating and SummarizingData into Useful Reports
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Chapter 05: Powerful Exploratory DataAnalysis with MLlib
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Chapter 08: Immutable Design
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Chapter 09: Avoiding Shuffle and ReducingOperational Expenses
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Chapter 10: Saving Data in the CorrectFormat
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Chapter 11: Working with the SparkKey/Value API
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Chapter 12: Testing Apache Spark Jobs
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Chapter 13: Leveraging the Spark GraphXAPI
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