From 0 to 1: Hive for Processing Big Data

In this 15 hr course, you'll learn to use Apache Hive for big data processing, from the basics of SQL-like HiveQL to advanced topics like optimization and user-defined functions. Whether you're analyzing data or tuning Hive for performance, this hands-on course offers step-by-step insights into real-world use.

What I will be able to do after this course

• Master the core features of HiveQL and SQL syntax for big data analysis.
• Understand and implement Hive query optimizations like partitioning and bucketing.
• Develop custom User Defined Functions (UDFs) in Java and Python for tailored analyses.
• Utilize advanced Hive functionalities including subqueries, joins, and windowing.
• Gain a comprehensive understanding of Hive's interaction with Hadoop and MapReduce.

Course Instructor(s)

Ravi Loonycorn is an experienced technology professional with a rich background in software development and data analysis. With a passion for teaching, Ravi has created numerous in-depth courses that make complex topics clear and practical. His goal is to empower learners with skills they can directly apply in their careers.

Who is it for?

This course is ideal for data analysts seeking to harness Hive for complex data queries and engineers looking to optimize and extend Hive in a data warehousing setup. Beginners in SQL will find the included primer helpful, while professionals will appreciate the advanced content to scale their skillset.