Data Warehouse Concepts: Basic to Advanced concepts
Data Warehouse Concepts: Learn the in BI/Data Warehouse/BIG DATA Concepts from scratch and become an expert.
Created by Inf Sid, Last Updated 23-Oct-2019, Language:English
In this course, you will learn all the concepts and terminologies related to the Data Warehouse , such as the OLTP, OLAP, Dimensions, Facts and much more, along with other concepts related to it such as what is meant by Start Schema, Snow flake Schema, other options available and their differences. It also explains how the data is managed with in the Data Warehouse and explains the process of reading and writing data onto the Warehouse. Later in the course you would also learn the basics of Data Modelling and how to start with it logically and physically. You would also learn all the concepts related to Facts, Dimensions, Aggregations and commonly used techniques of ETL.
Upon completion of this course, you would have a clear idea about, all the concepts related to the Data Warehouse, that should be sufficient to help you start off with the next step of becoming an ETL developer or Administering the Data warehouse environment with the help of various tools.
All the Best and Happy Learning !
- Basic understanding of the IT (Software) industry
- Familiar with the basic concept of Database/RDBMS.
What Will I Get ?
- Brief about the Data Warehouse and how the concept came into existence
- Business Intelligence Concepts
- Data Warehouse Architectures
- ODS - Operational Data Store
- OLAP - Online Analytical Processing
- Data Marts
- Data Modeling
- Entity Relationship Model
- Dimensional Model
- Data Integration & ETL
- ETL vs ELT
- ETL - Extraction Transformation & Loading
- Typical Roles in a Data Warehouse Project
- DW/BI/ETL Implementation Approach
Brief about the Data warehouse
Is Data Warehouse still relevant in the age of Big Data?00:04:25
Why do we need a Data Warehouse?00:05:26
What is a Data Warehouse?00:05:48
Characteristics of a Data Warehouse00:05:43
Data Warehouse Architectures
ODS - Operational Data Store
Entity Relational Data Model
Data Integration and ETL
ETL Vs ELT
ETL - Extraction Transformation & Loading
Typical Roles In DWH Project
DW/BI/ETL Implementation Approach
Data Management Consultant
Business Intelligence Consultant and Trainer with 16+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP. Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.