About This Course
There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats.
Big SQL is another tool to work with your Hadoop data. Big SQL provides a common and familiar syntax for those that are already using SQL with their relational data to work with their big data.
- Understand the Big SQL architecture and show the different methods for working with Big SQL.
- Learn the Big SQL data types and show how to create Big SQL schemas and tables.
- Learn about the different file formats supported by Big SQL, such as parquet and ORC.
- Learn how to connect to the Big SQL server and load in some sample data in the hands-on labs.
- See how easy it is to use Big SQL to work with the data!
- Module 1 - Big SQL Overview
- Big SQL features and architecture
- Big SQL terminology and methods
- Module 2 - Big SQL data types
- Understand Big SQL data types and file formats
- Create Big SQL schemas and tables
- This course is free.
- It is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- There is only ONE chance to pass the course, but multiple attempts per question (see the Grading Scheme section for details)
Recommended skills prior to taking this course
- Working knowledge of SQL.
Henry L. Quach
Henry L. Quach is the Technical Curriculum Developer Lead for Big Data. He has been with IBM for 9 years focusing on education development. Henry likes to dabble in a number of things including being part of the original team that developed and designed the concept for the IBM Open Badges program. He has a Bachelor of Science in Computer Science and a Master of Science in Software Engineering from San Jose State University.