Analyzing Data with Spark in Azure Databricks
Spark 2.0 and later provides a schematized object for manipulating and querying data – the DataFrame. This provides a much more intuitive, and better performing, API for working with structured data. In addition to the native Dataframe API, Spark SQL enables you to use SQL semantics to create and query tables based on Dataframes. ................
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