Apache Hive is a data warehouse system build on top of Hadoop to query Big Data. Hive originated at Facebook and was open sourced in August 2008. The challenge Facebook had to address is one faced by many companies since then. Eventually data growth in a company challenges the capabilities of deployed RDBMS or NoSQL systems. Reports and analytics start to take minutes, then hours, and eventually overlap with other queries and the whole system grinds to a halt. Another common scenario companies start processing big data with Hadoop discovers the value of making the data accessible beyond the development team capable of writing complex map-reduce jobs.
Getting Started with Hive
HiveQL - Data Definition, Data Manipulation, Queries, Views, Indexes
Development with Hive
Partitions and Buckets
Hive & AWS
June 13-14, 2014
Also as per your convenient date and time
Course Fee: $399  (INR 24,387)
Basic familiarity with SQL and/or a scripting language
No pre‐existing knowledge of Hadoop is required.
Hardware & Software requirement
System Configuration – Core 2 / Dual Core processor with 2 GB RAM
Operating system – Linux with Root access
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