Configure Hive on Hadoop in Ubuntu | Data Engineering Tutorial for Beginners | Ivy Pro School
In this video, we delve into configuring Apache Hive on a Hadoop cluster within a Ubuntu VirtualBox environment. This comprehensive guide navigates through essential steps for seamless integration. Which begins by ensuring the correct Java version (Java 8) is installed, vital for Hive compatibility. Next, we modify Hadoop settings, focusing on Java and MapReduce configurations. The tutorial then shifts to the Hive installation process, detailing downloading, unzipping, and essential configurations. Additionally, we create necessary folders within HDFS, set appropriate permissions, and set Hive environment variables. A practical demonstration showcases table creation, data insertion, and the triggering of MapReduce tasks within Hive. By the end, you’ll possess a functional Hive setup, primed for efficient big data processing.
Commands for Hive configurations –
https://drive.google.com/file/d/14OX2vTKgW6BSbysw3G39hD7JZPp-CFht/view?usp=sharing
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Chapters:
00:00:00 Introduction
00:00:20 Update/install and configure java 8
00:02:07 Check hadoop mapreduce working or not
00:03:47 Download Hive
00:04:54 Configure Hive-site.xml file
00:06:32 Configure bashrc file
00:07:17 Creating folders in hdfs and give permissions
00:07:59 Configure hive-env.sh file
00:08:39 Update the guava file
00:10:04 Update the .sql file
00:11:03 Initializing the scripts
00:11:48 Launch hive
00:12:01 Launch hive using beeline
00:12:32 Practical demo
00:12:56 Conclusion
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