Hive Partitioning and Bucketing:

This course is basically intended for users who are interested to learn about Hive concepts particularly in Hive Partitioning and Bucketing.
Hive enables examination of huge data sets using a language. This means anyone who can write SQL queries can access data stored on the Hadoop cluster. This discussion introduces the functionality of Hive, as well as its various applications for data analysis and data warehousing.
The course will give you an overview of Hive concepts in Hadoop which would explain what Hive is, hive data types, commands and hive metastore. You would also learn how to manage data in hive which is partitioning and bucketing.

Course Objective:

• To understand basic Hive concepts
• To learn Hive Partitioning and Bucketing

Target Customers:

• Students
• Professionals
• Anyone who wants to learn about data and analytics

Pre-Requisites:

• Basic Computer Knowledge
• Experience of coding

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Section 1 Introduction

1              what is Hive Partition

2              Creating Partition Table

3              Insert Overwrite Table

4              Dynamic Partition True

5              Hive Bucketing

6              Decomposing Data Sets

Section 2 Importing

7              Hive Joins

8              Hive Joins Continue

9              Skew Join

Section 3 Hive Serde

10           What is Serde

11           Serde in Hive

Section 4 Hive UDF

12           Hive UDF

13           Hive UDF Continues

14           More Hive UDF

15           Maxcale Function

Section 5 Hive Example Use Case

16           Hive Example Use Case

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• Course Name
• Date of Completion
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