IBM InfoSphere DataStage v11.5 - Advanced Data Processing

This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you, will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), 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.

    Oct 26 2020

    October 26 - 27, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 10/26/2020 - 10/27/2020 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
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    Delivery Format: VIRTUAL CLASSROOM LIVE Request Quote & Enroll

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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    October 26 - 27, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Nov 23 2020

    November 23 - 24, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 11/23/2020 - 11/24/2020 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    November 23 - 24, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Dec 21 2020

    December 21 - 22, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 12/21/2020 - 12/22/2020 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    December 21 - 22, 2020 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Jan 18 2021

    January 18 - 19, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 01/18/2021 - 01/19/2021 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
    Location: ONLINE (Virtual Classroom Live)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    January 18 - 19, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Feb 15 2021

    February 15 - 16, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 02/15/2021 - 02/16/2021 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
    Location: ONLINE (Virtual Classroom Live)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    February 15 - 16, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Mar 15 2021

    March 15 - 16, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 03/15/2021 - 03/16/2021 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
    Location: ONLINE (Virtual Classroom Live)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    March 15 - 16, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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    Apr 12 2021

    April 12 - 13, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live

    Date: 04/12/2021 - 04/13/2021 (Monday - Tuesday) | 9:00 AM - 5:00 PM (EST)
    Location: ONLINE (Virtual Classroom Live)
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    IBM InfoSphere DataStage v11.5 - Advanced Data Processing

    April 12 - 13, 2021 | 9:00 AM - 5:00 PM (EST) | Virtual Classroom Live


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  • Use Connector stages to read from and write to database tables
  • Handle SQL errors in Connector stages
  • Use Connector stages with multiple input links
  • Use the File Connector stage to access Hadoop HDFS data
  • Optimize jobs that write to database tables
  • Use the Unstructured Data stage to extract data from Excel spreadsheets
  • Use the Data Masking stage to mask sensitive data processed within a DataStage job
  • Use the Hierarchical stage to parse, compose, and transform XML data
  • Use the Schema Library Manager to import and manage XML schemas
  • Use the Data Rules stage to validate fields of data within a DataStage job
  • Create custom data rules for validating data
  • Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions

• Experienced DataStage developers who want learn about more advanced DataStage job techniques

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