Modeling Data Warehouse with Data Vault for Beginners

What you'll learn
Get understanding about Traditional Data warehouse concepts
Learn fundamentals of the Data Vault modeling approach
Understand principles of Agile Project Management in Data Vault 2.0
Learn Big Data Platforms Integration with Data Vault 2.0
Understand Data Vault architecture and layers
Learn Business and Information Vault
Understand advanced data modeling techniques
Design a Data Vault practical scenario from scratch
Convert 3NF & Dimensional Model to Data Vault
Understand Dimensional model principles in Data Vault
Requirements
Familiar with the basic concept of Database/RDBMS
Understanding the SQL fundamentals
Description
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

Who this course is for:
Anyone wants to learn data warehousing concepts with Data Vault

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