This course is designed to introduce the student to the capabilities of IBM Big SQL. IBM Big SQL allows you to access your HDFS data by providing a logical view to it. You can use the same SQL that was developed for your data warehouse data on your HDFS data.
This course provides context on why you would use Big SQL followed by how to use Big SQL to access your data. It also covers what Big SQL is, how it is used, and the Big SQL architecture. The course also covers how to connect to Big SQL, create tables with a variety of data types, load data in, and run queries against the data. The course also shows how to use Big SQL with other components of the Hadoop ecosystem.
Please refer to course overview
Basic Linux knowledge
Basic SQL knowledge
Working knowledge with big data and Hadoop technologies
1: Using Big SQL to access data residing in the HDFS
Overview of Big SQL
Understand how Big SQL fits in the Hadoop architecture
Working with Big SQL using Ambari and command line
Connect to Big SQL using IBM Data Server Manager 2: Creating Big SQL schemas and tables
Describe and create Big SQL schemas and tables
Describe and list the Big SQL data types
Work with various Big SQL DDLs
Load data into Big SQL tables using best practices 3: Querying Big SQL tables
Describe Big SQL supported file formats
Query Big SQL tables using various DMLs 4: Querying data in HBase tables using Big SQL
Describe the basic functions of HBase
Issue basic HBase commands
Use Big SQL to create and query HBase tables
Map HBase columns to Big SQL 5: Analyzing data managed by Big SQL using Apache Spark
Describe the purpose and role of Spark
Query data managed by Big SQL using Spark 6: Using Big SQL with various data types and tables
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.