GitHub / SteveTuttle / home-sales-sparkSQL-metrics
Use SparkSQL to determine key metrics of the data. Use Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.
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Language: Jupyter Notebook
Size: 27.3 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: google-colab, optimize-queries, pyspark, sparksql, temporary-tables