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.

Audience:

This course is intended for Analysts and Contributors.

Brand: IBM Analytics; Windows

Event Number: KM700G

Available Languages: English (US),English (UK),French (Canada),German (Germany),Russian (Russia),Japanese (Japan),Chinese (Simplified),Italian (Italy),Polish (Poland),Portuguese (Brazil),French (France),Spanish (Latin America),Spanish (Spain),Portuguese (Portugal),Thai (Thailand),Dutch (The Netherlands),Turkish (Turkey),Romanian (Romania),Czech (Czech Republic),Latvian (Latvia),Lithuanian (Lithuania),Norwegian (Bokml),Swedish (Sweden),Danish (Denmark),Hebrew (Israel),Arabic,Greek (Greece),Korean (Korea),Bulgarian (B

Subjects: Technical

Objectives:

Please refer to course overview

Learn about;
Information Management;
InfoSphere Information Server;
InfoSphere Information Server 11.5.0

Course Detail:

• 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

Pre-Requisite Text:

• Knowledge of OLAP fundamentals is recommended

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