Apache Spark with Python – Big Data with PySpark and Spark

Apache Spark with Python – Big Data with PySpark and Spark

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Apache Spark with Python – Big Data with PySpark and Spark, Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark

Created by Level Up Expert Program, Pedro Magalhães Bernardo, Tao W., James Lee

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What Will I Learn?

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