Big Data Warehouse - Hive, Hive2, Impala+Paraquet Tables

The hands on session seating is limited and some pre-requisites have to be met to participate. Please answer the questions during RSVP to receive details for hands-on session.

Note: Anyone can attend and watch the meetup session.

Agenda – Cloudera Big Data SQL Engine

1. Overview, Pros and Cons - HIVE QL, HIVE, and HIVE2 - 20 m

2. Overview Impala, Parquet tables based on Hive+HBase - 20 m

3. Overview of an example used for hands on session - 10 m

Break - 10 m

4)Hands on Session - 1 hour

• Overview of the example

• Load example data to HDFS, HIVE, and HBase

• Build and Execute Impala and Parquet based SQL queries