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Pluralsight

Writing Complex Analytical Queries with Hive

via Pluralsight

Overview

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This course is useful for understanding Hive's features so you can write efficient, fast, and optimal queries.

The Hive data warehouse supports analytical processing, it generally processes long-running jobs which crunch a huge amount of data. By understanding what goes on behind the scenes in Hive, you can structure your Hive queries to be optimal and performant, thus making your data analysis very efficient. In this course, Writing Complex Analytical Queries with Hive, you'll discover how to make design decisions and how to lay out data in your Hive tables. First, you'll dive into partitioning and bucketing, which are ways to reduce the data a query has to process. You'll cover how and when you use partitioning, bucketing, or both when you set up your tables. Next, you'll be introduced to the joins operation, along with covering how to deal with large tables, and run and optimize map-only joins. Lastly, you'll learn windowing functions, which allow you to write complex queries simply and easily with no intermediate tables. An important optimization with large datasets. By the end of this course, you'll develop an understanding for the little details that makes writing complex queries easier and faster.

Syllabus

  • Course Overview 1min
  • Using Hive for Analytical Queries 21mins
  • Partitioning Tables for Faster Queries 42mins
  • Bucketing Columns for Faster Joins 38mins
  • Optimizing Hive Joins 47mins
  • Windowing Functions 31mins

Taught by

Janani Ravi

Reviews

4.8 rating at Pluralsight based on 87 ratings

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