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Master Data Warehouse Concepts from Scratch and become an Expert
Brief about the Data warehouse
Is Data Warehouse still relevant in the age of Big Data? (4:25)
Why do we need a Data Warehouse? (5:26)
What is a Data Warehouse? (5:48)
Chareterstics of a data warehouse (5:43)
Quiz: Test your understanding on what is a Data Warehouse
Business Intelligence
What is Business Intelligence? (5:37)
Business Intelligence -Extended Explanation (3:34)
Uses of Business Intelligence (8:02)
Tools used for (in) Business Intelligence (6:25)
Quiz: Test your understanding on Business Intelligence
Data Warehouse Architectures
Enterprise Architecture or Centralized Architecture (4:08)
Federated Architecture (2:49)
Muitli Tired DWH Architectures (3:13)
Components of a Data Warehouse (3:57)
Purpose of a Staging Area in Data Warehouse Architecture - Part 1 (4:43)
Purpose of a Staging Area in Data Warehouse Architecture - Part 2 (3:35)
Advantages of a Traditional Data Warehouse (2:30)
Limitations of Traditional Data Warehouses (6:02)
Quiz: Test your understanding on DWH Architectures
ODS - Operational Data Store
What is ODS? (2:20)
Define ODS (8:41)
Features and Benefits of ODS (2:18)
Differences between ODS,DWH, OLTP, OLAP, DSS (4:01)
Quiz: Test your understanding on ODS
OLAP - Online Analytical Processing
OLAP Overview (5:56)
OLAP Vs OLTP Part 1 (4:33)
OLAP Vs OLTP Part 2 (6:01)
OLAP Architecture - MOLAP (6:36)
ROLAP (3:40)
HOLAP (2:28)
DOLAP (1:28)
Quiz: Test your understanding on OLAP
Data Mart
What is a Data Mart? (1:47)
Fundamental Difference between DWH and DM (0:36)
Advantages of a Data Mart (2:40)
Charecteristics of a Data Mart (4:00)
Disdvantages of a Data Mart (3:13)
Mistakes and MisConceptions of a Data Mart (2:15)
Quiz: Test your understanding on Data Marts
Metadata
Overview of Metadata (1:57)
Benefits of Metadata (1:46)
Types of Metadata (5:32)
Metadata Project Setup (5:34)
Best Practices for Metadata Setup (1:30)
Summary for Metadata (3:16)
Quiz: Test your understanding on Metadata
Data Modeling
What is Data Modeling? (2:13)
Data Modeling Techniques (3:53)
Entity Relational Data Model
ER Data Model (3:41)
ER Modelling Logical Design - What is an Entity? (1:59)
ER Modelling Logical Design - Types of Entities Part 1 (4:01)
ER Modelling Logical Design - Types of Entities Part 2 (2:09)
ER Modelling Logical Design - Attributes (1:55)
ER Modelling Types of Attributes (4:01)
ER Modelling Entity Set and Keys (2:44)
ER Modelling Logical Design - Identifier (2:02)
ER Modelling Logical Design - RelationShip (1:16)
ER Modelling Logical Design - Notation (2:37)
ER Modelling Logical Design - Logical Data Model (1:29)
ER Data Model - Moving from Logical Data Model to Physical Data Model (2:26)
ER Data Model - Differences between CDM, LDM and PDM (3:31)
Disadvantages of ER Model (3:33)
Quiz: Test your understanding in ER Data Model
Dimensional Model
What is Dimensional Modeling? (4:39)
Benefits of Dimensional Modeling (1:50)
What is a Dimension? (2:48)
What is a Fact? (2:05)
Types of Facts - Additive (1:45)
Types of Facts - Semi Additive (2:28)
Types of Facts - Non Additive (1:30)
Types of Facts - FactLess (2:29)
What is a Surrogate Key? (4:01)
Star Schema (5:23)
SnowFlake Schema (3:25)
Galaxy Schema or Fact Constellation Schema (2:20)
Differences between Star and SnowFlake (5:27)
Conformed Dimensions (6:38)
Junk Dimension (3:06)
Degenerate Dimension (3:35)
Slowly Changing Dimensions Introduction and Example Preparation (25:44)
Slowly Changing Dimensions Type 1 2 3 (12:30)
Slowly Changing Dimesnsions - Summary (3:33)
Step by Step approach to set up the Dimensional Model using a retail case study (7:28)
ER Model Vs Dimensional Model (5:51)
Quiz: Test your understanding on Dimensional Model
DWH Indexes
What is an Index? (2:12)
BitMap Indexes (4:17)
BTree Indexes (1:56)
BTree Vs BitMap (3:22)
Quiz: Test your understanding on DWH Indexes
Data Integration and ETL
What is Data Integration? (6:49)
What is ETL? (4:19)
Common Questions on DI and ETL (2:49)
Quiz: Test your understanding on Data Integration and ETL
ETL Vs ELT
ETL - Explained in detail (6:41)
ELT - Explained in detail (5:57)
ETL Vs ELT Differences (2:23)
ETL - Extraction Transformation & Loading
ETL Buy Vs Build (5:10)
ETL Tools for Data Warehouses (1:56)
Full and Incremental Extraction (5:43)
Differences between Full Vs Incremental Loads (1:27)
Quiz: Test your understanding on Full and Incremental loads in ETL
Typical Roles In DWH Project
Project Sponsor (3:24)
Project Manager (1:46)
Functional Analyst or Business Analyst (2:53)
SME - Subject Matter Expert (4:17)
DW BI Architect (3:07)
DWH Tech Admin (1:20)
Data Modeler (8:59)
ETL Developers (1:56)
BI OLAP Developers (1:29)
ETL/QA Testers (1:58)
DB UNIX Network Admins (0:56)
Data Architect, Data Warehouse Architect, BI Architect and Solution Architect (9:57)
Final Note about the Roles (2:16)
DW/BI/ETL Implemetation Approach
Different phases in DW/BI/ETL Implementation Approach (1:51)
Knowledge Capture Sessions (3:34)
Requirements (7:21)
Architecture Phases (4:48)
Data Model/Database (1:35)
ETL Phases (2:43)
Data Access Phases (2:10)
Data Access Types - Selection (1:37)
Data Access Types - Drilling Down (0:58)
Data Access Types - Exception Reporting (0:36)
Data Access Types - Calculations (1:26)
Data Access Types - Graphics and Visualization (0:58)
Data Access Types -Data Entry Options (2:04)
Data Access Types - Customization (1:00)
Data Access Types - WebBased Reporting (0:56)
Data Access Types - BroadCasting (1:05)
Deploy (1:42)
Iterative Approach (3:25)
SME - Subject Matter Expert
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