Introduction to Data Warehouse | Udemy

What you’ll learn
You will learn the modern architecture of a Data Warehouse
You will learn the principles of Data Warehouse Design
Foundational data warehousing concepts and fundamentals
Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs
Learning all the concepts and terminologies related to the Datawarehouse , such as the OLTP, OLAP, Dimensions, Facts, Start Schema, Snow flake Schema etc
in the course you would also learn the basics of Data Modelling and how to start with it logically and physically.

A Data warehouse is a database that is used for data analysis and reporting. It is a central repository for all the data that is needed for reporting and analysis. Data and analytics have become indispensable to businesses to stay competitive. Business users rely on reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. Data warehouses power these reports, dashboards, and analytics tools by storing data efficiently to minimize the input and output (I/O) of data and deliver query results quickly to hundreds and thousands of users concurrently.

A data warehouse may contain multiple databases. Within each database, data is organized into tables and columns. Within each column, you can define a description of the data, such as integer, data field, or string. Tables can be organized inside of schemas, which you can think of as folders. When data is ingested, it is stored in various tables described by the schema. Query tools use the schema to determine which data tables to access and analyze.

A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data. A database is used to capture and store data, such as recording details of a transaction.

The course is a right blend of concepts with right examples for making the topics easier which includes

2+ hours of on demand videos

Clarifications through community

Understand everything step by step from the absolute basics to the advanced topics

Here is what you’ll learn:

What is a data warehouse?

What is the need for a data warehouse?

History of Data Warehouse

OLTP & OLAP

Introduction to ETL

Extraction, Transformation and Load data in ETL

Types of Transformation

Data Warehouse Architecture

Data Warehouse Architectures based on layers and Tires

Data Mart

Storing Data in Data Warehouse

Dimension Tables and Fact Tables

Dimension and Fact table with Example

Data Warehouse Schema and Types

Slowly Changing Dimensions Introduction and Types

ETL Tools

Scheduling the Tools

Reporting Tools

Who this course is for:
This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse

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