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Prerequisites: Hive requires knowledge of SQL. This course covers advanced features of Hive that are not present in SQL
Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data.
This course is an advanced guide to using Hive for writing complex, performant analytical queries.
Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. It's interface is like an old friend : the very SQL like HiveQL. This course will help you take advantage of Hive features that help you tune performance and do complex transformations.
Practical: Everything is taught using real-life examples, working queries and code .
What's Covered:
Analytical Processing: Subqueries, Table Generating Functions, Explode, Lateral View, Windowing and more
Tuning Hive for better functionality: Partitioning, Bucketing, Join Optimizations, Map Side Joins, Implementation of MapReduce for Select, Group by and Join
Talk to us!
Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertises at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.