Apache Spark SQL

Apache Spark 2.2
  • 16 Videos | 1h 7m 32s
  • Includes Assessment
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Apache Spark SQL is used for structured data processing in Spark. Explore features of Spark SQL such as SparkSessions, DataFrames, and Datasets.

WHAT YOU WILL LEARN

  • describe Apache Spark SQL
    create a SparkSession
    create DataFrames with Spark SQL
    use aggregations with the built-in DataFrames functions
    run SQL queries programmatically
    create a global temporary view
    create Datasets with Spark SQL
    use JSON Datasets with Spark SQL
  • use Load/Save functions
    manually specify a data source
    run SQL directly on files
    use SaveMode to handle save operations
    write parquet files with Spark SQL
    use Spark SQL to save a DataFrame as a persistent table
    use partitioning when saving persistent tables
    use Spark SQL to create Datasets and DataFrames

IN THIS COURSE

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