Data Vault Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

Data Vault is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or "all the data, all the time". Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and star schema. In Data Vault training course, delegates will learn to understand the architecture and design concepts behind Data Vault, and its interaction with Big Data, NoSQL and AI.

By attending Data Vault workshop, delegates will learn to:

Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
Build and deploy highly scalable and repeatable warehouses.

An understanding of data warehousing concepts
An understanding of database and data modeling concepts

The Data Vault class is ideal for:

Data modelers
Data warehousing specialist
Business Intelligence specialists
Data engineers
Database administrators

Introduction

The shortcomings of existing data warehouse data modeling architectures
Benefits of Data Vault modeling

Overview of Data Vault architecture and design principles

SEI / CMM / Compliance

Data Vault applications

Dynamic Data Warehousing
Exploration Warehousing
In-Database Data Mining
Rapid Linking of External Information

Data Vault components

Hubs, Links, Satellites

Building a Data Vault

Modeling Hubs, Links and Satellites

Data Vault reference rules

How components interact with each other

Modeling and populating a Data Vault

Converting 3NF OLTP to a Data Vault Enterprise Data Warehouse (EDW)

Understanding load dates, end-dates, and join operations

Business keys, relationships, link tables and join techniques

Query techniques

Load processing and query processing

Overview of Matrix Methodology

Getting data into data entities

Loading Hub Entities

Loading Link Entities

Loading Satellites

Using SEI/CMM Level 5 templates to obtain repeatable, reliable, and quantifiable results

Developing a consistent and repeatable ETL (Extract, Transform, Load) process

Building and deploying highly scalable and repeatable warehouses

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Data Vault

COURSE AGENDA