From 0 to 1: Hive for Processing Big Data

End-to-End Hive : HQL, Partitioning, Bucketing, UDFs, Windowing, Optimization, Map Joins, Indexes



About Course


Analytical Processing: Joins, Subqueries, Views, Table Generating Functions, Explode, Lateral View, Windowing and more

Tuning Hive for better functionality: Partitioning, Bucketing, Join Optimizations, Map Side Joins, Indexes, Writing custom User Defined functions in Java. UDF, UDAF, GenericUDF, GenericUDTF,  Custom functions in Python,  Implementation of MapReduce for Select, Group by and Join

For SQL Newbies: SQL In Great Depth

Who this course is for:
  • Yep! Analysts who want to write complex analytical queries on large scale data
  • Yep! Engineers who want to know more about managing Hive as their data warehousing solution




Highlights

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