Data Vault is an innovative modeling technique invented by Dan Linstedt to simplify data integration from multiple sources, offers auditability and design flexibility to cope with data from the heterogeneous information systems which supports most business demands today

It is designed to deliver an Enterprise Data Warehouse while solving many of the drawbacks of the 3NF (Inmon) and Dimensional Modelling(Kimball).

In this course, you will

• Learn the basics of Data Modelling to become familiar with core concepts

• Understand the fundamentals of traditional Data Warehouse approaches

• Learn many of today’s Data Warehousing problems and issues with 3NF or Star Schema

• Understand how Data Vault addresses these challenges and provide an innovative approach

• Learn the fundamentals of the Data Vault modeling approach from core concepts to advanced, and from architecture to key benefits

• Learn how to effectively model Hubs, Links and Satellites

• Understand DV Modeling constructs in detail

• Understand the different architectural and modeling layers of DV 2.0

• Learn Business Vault, Information Vault and significance of Dimensional Layer

• Understand where to use 3NF, Dimensional Model or Data Vault

• Understand loading patterns and architecture

• Learn  how to handle schema and grain changes on the Data Vault model

• Learn why Agile Methodology is important for scalable Data Warehouses

• Get familiar with Big Data Terminologies along with Data Vault Methodology

• It also contains a hands-on case study to get participants familiar with the principles and concepts 

Footnote: Automatically created subtitles are corrected!