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KM422 IBM InfoSphere Advanced DataStage - Advanced Data Processing V9.1

Course Overview

his course is designed to introduce you to advanced parallel job data processing techniques in DataStage V9.1. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), Hadoop HDFS (''big data'') files, and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.

Who Should Attend

This advanced course is for Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources.

Course Objectives

Learn about;Information Management;InfoSphere Information Server;InfoSphere Information Server 9.1.0

Course Outline

1 - Accessing Databases

2 - Processing Unstructured Data

3 - Processing Big Data

4 - Data Masking

5 - Processing XML Data

6 - Using Data Rules

7 - Updating a Star Schema Database

Enroll Today

This is a 2-day class

Price: $1,400.00
Payment Options

ILT Instructor‑Led Training

OLL Online LIVE

GTR  Guaranteed to Run

Class times are listed Eastern time. This class is available for Private Group Training

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