with Henry L. Quach
Analysts, developers, and administrators who are interested in using SQL access on their Hadoop data.
Time to complete:
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. There is no learning curve here. Big SQL is about applying SQL to your existing data – there are no proprietary storage formats.
This course will help you understand the Big SQL architecture and show the different methods for working with Big SQL. The course will list and explain the Big SQL data types and show how to create Big SQL schemas and table. The course will also cover the different file formats supported by Big SQL such as parquet and ORC.
In the lab exercises, you will get a chance to learn how to connect to the Big SQL server and load in some sample data. Then you will see how easy it is to use Big SQL to work with the data.
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This course was tested and validated for v4 of the QSE Docker Image.
Please download the v4 Docker Image to complete the lab exercises.
After completing this course, you should be able to:
Have taken the Hadoop Fundamentals – on Big Data University
The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark. You have 3 attempts to take the test