Learn Data Warehousing from Scratch – From Solution Architect – Mohammad Asif Raza

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Do you want to master in Data warehousing, keen to become an expert ? Me being worked on several Data Warehousing implementation projects in last 12 years here in UK. I will give you the grain of what's needed to implement a successful Data Warehouse project.

We've heard it all, big data and the intelligence to understand these chunks of data. Most persons have to start from scratch or meet mid-way to become an expert in business Intelligence domain.

Course is meant for someone who wants to understand fundamentals of DW and various architectural pieces around it and eventually become a part of big data revolution.

This course is built to get you the grain of the subject and give you what is essential for newbie to eventually become an expert at the end of the course. Come and Join the journey!!

Course Highlights Introduction

• Business Challenge?
• Need for Business Intelligence
• Define Data warehouse
• Industry UsingData warehousing
• Typical BI environment

Data Warehousing Concepts

• OLTP ,OLAP
• ODS, Data Marts
• ETL
• Facts, Dimensions, SCD
• Surrogate Keys, Factless-Fact

Two Major school of thoughts

• Are they at war ?
• Understand myth
• Case Studies

• Ralph Kimball
  • How to design
  • Start Schema, Snow Flake
  • Bus Architecture
  • Sample Data Models
• Bill Inmon
  • How to design
  • 3rd Normal Form
  • CIF Architecture
  • Sample Data Models

Data Warehouse Appliances

• Teradata
• Netezza
• Exadata

Big Data

• What's the Buzz word
• What are 4 V's
• Understand Big Data in BI terms
• Major Player
• What is Hadoop
• Hadoop in DW world
• Example – Architecture

NoSQl

• What it is
• SQL VS NoSQL
• Types of NoSQL DB's

• Major BI Vendors

Wish you all the very best!

Course Curriculum

Introduction

• Course Content
• Business Challenge
• History Of DW
• What Is Business Intelligence
• BI Bit More

Data WareHouse Basics

• DW Definition
• DW Key Concepts
• Staging Area & ODS
• DataMart
• ETL
• DW Key Concepts – Quick Recap
• Typical BI Environment

Data Warehouse Architecture

• Data Warehouse Methods
• Ralph Kimball Method
• Bill Inmon Method
• Dimensional Modeling – Design Process
• Dimensional Modeling – Fact Tables
• Dimensional Modeling – Dimension Table
• Similarities between Kimball And Bill Inmon
• Slowly Changing Dimension

Case Study

• Case Study
• Case Study – Solution
• Star Schema
• SnowflaKe Schema
• BUS Architecture
• Schema Extension – Future Maintenance
• Bill Inmon Method

Data Warehouse Appliances

• Data Warehouse Appliances – Netezza/Teradata/Exadata

BIG DATA

• BIG DATA
• Data Warehousing And Hadoop

NOSQL

• NOSQL in Nutshell
• BI Vendors

Quiz

• Test your data warehousing skills
• Food for Thought

Reference Materials – Goto Links/Steps

• Data Warehouse Reference Materials

Case Study – Using Oracle DB

• Problem Statement
• New Lecture

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