Duration
2 days
Overview
This course is designed to educate the student on IBM BigInsights Big SQL. Initially, the student learns how to set up various BigInsights components to access Big SQL. Next, administration of Big SQL is covered. The student creates Hive tables, local, external, and partitioned, that can be accessed by Big SQL. Then, the same is done for HBase tables. The course winds up covering some query performance topics as well as defining complex structures in a table.
Training Paths that reference this course are:
- Streams & BigInsights
Objectives
- Use the following to access Big SQL:
- JSqsh
- BigInsights Console
- BigInsights Eclipse development environment
- Create schemas
- Create and load Hive tables:
- Local tables
- External tables
- Partitioned tables
- Create HBase tables and map Big SQL columns to that table
- Query Big SQL tables
- Use Big SQL query hints to aid in query performance
- Create tables that have columns made up of complex structures
Audience
This course is for anyone who might need to query or administer Big SQL tables.
Prerequisites
There are no prerequisites for this course, however, knowledge of SQL and basic knowledge of Hadoop would be beneficial.
Course Outlines
- IBM BigInsights Big SQL Overview
- Big SQL Server and Clients
- Big SQL Administration
- Big SQL HBase Support
- Big SQL Query Tuning and Complex Data Types
Programme scope, delivery arrangements and suitability are confirmed during enquiry.