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Read Parquet Data Source

Explore how to read Parquet data into PySpark using spark.read methods, implement caching for performance, and manage data snapshots with a metadata catalog. Gain practical skills to handle distributed data sources effectively.

We'll cover the following...

PySpark API already provides a built-in function to read the distributed data. We have to give the main directory location. PySpark will consider the whole directory as a data source. The SparkContextSparkSession vs SparkContext – Since earlier versions of Spark or Pyspark, SparkContext (JavaSparkContext for Java) is an entry point to Spark programming with RDD and to connect to Spark Cluster, Since Spark 2.0 SparkSession has been introduced and became an entry point to start programming with DataFrame and Dataset. exposes a spark.read.<filetype> ...