Course curriculum

    1. 1. Course Introduction

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    1. 1. IBM Information Server Architecture and Product Components

    2. 2. IBM Information Server Product Components in Detail

    3. 3. IBM Information Server Topology

    4. 4. Refer_ IBM Infosphere DataStage and Governance Catalog (IGC) Courses

    1. 5. Five types of Data Quality Issues frequently happen

    2. 6. How IBM InfoSphere QualityStage could resolve

    3. 7. IBM InfoSphere QualityStage functions

    4. 8. Detail IBM QualityStage _ Investigate Stage

    5. 9. Investigate stage - Character Discrete option with C mask

    6. 10. Investigate stage - Character Discrete option with T mask

    7. 11. Investigate stage - Character Concatenate option with mix of C, T, and X masks

    8. 12. Investigate stage - Character Concatenate option with C mask

    9. 13. Investigate stage - Word Investigate

    10. 14. Standardize stage

    11. 15. Standardize stage - Example

    12. 16. Standardize stage - Validation Rule Sets

    13. 17. Standardize stage - Example (Cont.)

    14. 18. Match Stage

    15. 19. Survivorship Stage

    16. 20. Survivorship Stage - Example

    1. 1. Discover Source Systems and Data Integration with IBM DataStage & QualityStage

    2. 2. Load Customer Data into Dataset

    3. 3. Use LookUp Stage in IBM Datastage & Qualitystage

    4. 4. Data Transformation with IBM DataStage & QualityStage for data Cleansing

    5. 5. Investigating source data with Investigation Stage

    1. Special Gift for You

About this course

  • $22.00
  • 27 lessons
  • 3 hours of video content

Reference, Rating, and Feedback

Intended learners

What will you learn in the course?

  • Understanding of IBM Information Server Architecture and its various product components.

  • Insight into different IBM Information Server Topologies and their deployment considerations

  • Identification and understanding of five common types of Data Quality Issues.

  • Mastery of how IBM InfoSphere QualityStage can resolve these Data Quality Issues effectively.

  • Comprehensive understanding of the functions and capabilities of IBM InfoSphere QualityStage.

  • In-depth exploration of IBM QualityStage & Investigate Stage, including detailed discussions on Character Discrete options with C and T masks.

  • Practical application of Character Concatenate options with a mix of C, T, and X masks, as well as with C masks.

  • Practical application and understanding of Word Investigate stage.

  • Utilization of Standardize stage, Match Stage, Survivorship Stage, for data standardization, along with validation Rule Sets.

  • Real-world practice demonstrations to reinforce learning and provide hands-on experience in applying IBM InfoSphere QualityStage techniques.

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

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