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Data Transformations & Standardisations

The module describes Data Transformations and Standardisations and details the benefits that can be achieved from using the processes.

Challenges with transformations and standardisations are discussed and examples of common transformations and standardisations are illustrated.

The module also explains different data transformations types along with giving illustrated industry examples.

Data Transformations and Standardisations

Learning Objectives:

Learn what data transformations are.

Learn what data standardisations are.

Understand why data transformations and standardisations are performed.

Learn the challenges around data transformations and standardisations.

Learn the common types of data standardisations.

Learn the common types of data transformations.

Learn the different types of ways data is transformed.

Who is Suitable?

No prior knowledge is required so all Data Practitioners can undertake the course.

As this is a data assessment and control module the content is especially useful for data profilers and data analysts but would also be a useful for a wide spectrum of data roles; including but not exclusive to data owners, data modellers, data architects and data lineage analysts.

Videos:

  • Can you explain the difference between transformations and standardisation?
  • Can you explain how transformations and standardisations improve DQ?
  • What are the challenges when transforming and standardising data?

Contents:

An Interactive Presentation

3 Videos

60+ Questions

10+ Interactive Questions

3 Final Practice Tests – 30 questions over 30 minutes

Final Examination – 60 questions over 30 minutes

Certification

 4 hours of learning materials to complete.

Valid for 24 months

Only £100.00 + VAT