From 0 to 1: Hive for Processing Big Data
Course Features
Duration
15 hours
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
15 hours
Course Description
Course Overview
Alumni Network
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
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 Sel
Target Students
Analysts who want to write complex analytical queries on large scale data
Engineers who want to know more about managing Hive as their data warehousing solution