Lai Rudy Lai
eBook, ePUB

Hands-On Big Data Analytics with PySpark (eBook, ePUB)

Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

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Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data using distributed datasets and in-memory cachingSource data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3Employ the easy-to-use PySpark API to deploy big data Analytics for productionBook DescriptionApache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics application...

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