In this Introduction to Apache Hive training course, expert author Tom Hanlon will teach you how to create and query large datasets in Hadoop. This course is designed for the absolute beginner, meaning no experience with SQL or Hadoop is required.
You will start by learning how to connect to Hive, then jump into learning how to create tables and load data. From there, Tom will teach you how to manipulate tables with HiveQL, including how to insert …
Introduction to Apache Hive
Video description
In this Introduction to Apache Hive training course, expert author Tom Hanlon will teach you how to create and query large datasets in Hadoop. This course is designed for the absolute beginner, meaning no experience with SQL or Hadoop is required.
You will start by learning how to connect to Hive, then jump into learning how to create tables and load data. From there, Tom will teach you how to manipulate tables with HiveQL, including how to insert data into a Hive table using HiveQL. This video tutorial also covers how to create views and partitions and transform data with custom scripts. Finally, you will learn about Hive execution engines, such as Map Reduce, Tez, and Spark.
Once you have completed this computer based training course, you will have learned how to create tables and load data in Hive, execute SQL queries, use user defined functions, and transform scripts.
Inserting Data Into A Hive Table Using HiveQL
00:02:14
Creating A Table Using HiveQL
00:01:44
Views And Partitions
Creating And Using Views
00:02:29
Creating And Using Partitions
00:04:16
Functions And Using Transform
Built In Functions
00:03:46
User Defined Functions
00:03:52
Transforming Data With Custom Scripts
00:09:48
Hive Execution Engines
Map Reduce
00:08:43
Tez
00:05:29
Spark
00:02:31
Conclusion
Wrap Up
00:02:53
Start your Free Trial Self paced Go to the Course We have partnered with providers to bring you collection of courses, When you buy through links on our site, we may earn an affiliate commission from provider.
This site uses cookies. By continuing to use this website, you agree to their use.I Accept