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Data Dependency Analysis 

The data dependency analysis module reveals what dependant data is and how data that being dependent on other data is useful.

Worked examples of how analysis of data dependencies takes place is shown.

Some of the common data dependency errors such as missing values, different values and misspelled values are explained.

The module also explains some of the challenges of analysing data dependencies.

Data Dependency Analysis

Learning Objectives:

Learn what data dependency analysis is.

Learn the uses of data dependency analysis.

Learn the challenges of completing data dependency analysis.

Understand some common data dependency errors.

Understand some worked examples of data dependency.

Who is Suitable?

This module would be useful for a wide range of data roles; including but not exclusive to data owners, data stewards, data architects and data lineage analysts.

As this is a data understanding module it is especially useful for data analysts and data modellers.

Videos:

  • Could you give an example of hidden data dependencies in complex financial products?
  • Can you give an example of a less important relationship that effort could potentially be wasted on?
  • Why is data dependency analysis done?

Contents:

An Interactive Presentation

3 Videos

60+ Questions

10+ Interactive Questions

3 Final Practice Tests – 30 question over 30 minutes

Final Examination – 60 questions over 30 minutes

Certification

DQRB Certificate

4 hours of learning materials to complete.

Valid for 24 months

Only £100.00 + VAT