In this course, End-to-End Hive: HQL, Partitioning, Bucketing, UDFs, Windowing, Optimization, Map Joins, Indexes. Enrolling in course From 0 to 1: Hive for Processing Big Data by Loony Corn.
Course: From 0 to 1: Hive for Processing Big Data
Author: Loony Corn
Description: End-to-End Hive : HQL, Partitioning, Bucketing, UDFs, Windowing, Optimization, Map Joins, Indexes
Skill Level: All Levels
Content: 15.5 hours
Includes: Lifetime access
Categories: Business / Data & Analytics
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion.
Take the course, From 0 to 1: Hive for Processing Big Data. Here are some of the things you’ll be able to do after taking this course:
By the end of this course, you will leverage ideas of partitioning, bucketing to optimize queries in Hive.
By the end of the course, you will be able to write complex analytical queries on data in Hive and uncover insights.
Upon completion of the course, you will customize hive with user defined functions in Java and Python.
Upon completion, you will be able to understand what goes on under the hood of Hive with HDFS and MapReduce.
Who this course is for:
This course is intended for engineers who want to know more about managing Hive as their data warehousing solution.
This course is meant for analysts who want to write complex analytical queries on large scale data.
This Course is an Excellent Choice!
Enroll in This Online Course Now!
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