Web Based Training
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
This course teaches data engineers how to run DataStage jobs in a Hadoop environment. You will run jobs in traditional and YARN mode, access HDFS files and Hive tables using different file formats and connector stages.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms
Introductions to BigData and BigQuality
YARN for dynamic DataStage job allocation
Tracing and debugging in YARN mode
Using log files
Understanding configuration parameters
Accessing Hadoop data using WebHDFS and HttpFS and using various connector stages
Please refer to course overview
Knowledge of OLAP fundamentals is recommended
This course is intended for Analysts and Contributors.