Introduction to Distributed Computing with Spark and Python
About:

This workshop will cover :-  

  • Brief introduction to Spark concepts and its working.
  • Using Spark with Python. 
  • Read from different data sources/formats (CSV, JSON, JDBC)
  • Applying transformations using UDFs(User Defined Functions)
  • Saving dataframes to a filesystem.
  • Industrial use case examples.  
Pre-requisites:
Familiarity with python is good to have but not required. A computer running OS with updated browser.
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