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Leveraging AdventureWorks2016: Building a Data Warehouse from Scratch

What you will learn

An introduction to SQL and Transact-SQL (T-SQL).

Understanding the SQL Server as a Database Management System (DBMS).

The fundamentals of the AdventureWorks2016 database.

The concept and usage of a Relational Database Management System (RDBMS).

Basic SQL Server operations.

The core concepts of data warehousing.

The architecture and design of different types of data warehouses.

The importance and applications of Business Intelligence (BI).

How to design a Star Schema and Snowflake Schema in a data warehouse.

The creation and usage of Dimension and Fact tables.

The utilization of indexes and partitioning to optimize database performance.

The step-by-step process of designing a data warehouse.

Creation of a new data warehouse database.

Applying the learned concepts in a capstone project to design a data warehouse using the AdventureWorks2016 database.

Description

In this course, students will acquire the foundational knowledge and skills necessary to design and implement a data warehouse – a core component of modern data infrastructure. This course offers an immersive exploration into the world of data warehousing using SQL Server, a leading database management system, and the AdventureWorks2016 database, which provides real-world business data.

The initial phase of the course familiarizes students with key data warehousing concepts, an indispensable part of understanding the rationale behind data warehousing. It covers the specific need for data warehouses, highlighting how they facilitate complex data analysis, reporting, and decision-making tasks for businesses. Students will also delve into the components that constitute a data warehouse and learn about various types of data warehouses, thereby broadening their understanding of the diversity in data storage structures.

The course transitions to Business Intelligence, revealing its integral relationship with data warehousing. Students will grasp how data warehouses underpin business intelligence processes, supporting data-driven decision-making across various industries.

A significant focus of the course lies in mastering SQL Server, the platform used to create and manage the data warehouse. Students will not only familiarize themselves with the software but also learn the installation prerequisites, ensuring they can comfortably set up SQL Server environments. Essential operations within SQL Server will be covered alongside an introduction to Transact-SQL (T-SQL), the query language used for communicating with the database.

The AdventureWorks2016 database will be utilized as a practical tool throughout the course. This multi-dimensional, sample database offers students a hands-on learning experience, allowing them to implement learned concepts immediately. Through this database, students will explore DBMS and RDBMS fundamentals, enhancing their comprehension of how data is organized, accessed, and managed.


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As the course advances, students will comprehend the critical concept of schemas, particularly Star and Snowflake schemas. Through step-by-step SQL code examples, they will learn to build these schemas, providing them with practical knowledge to construct and visualize data warehouse designs.

A pivotal aspect of data warehousing is the use of Dimension and Fact tables. Students will learn to create these using the AdventureWorks2016 database, thereby understanding how to structure and connect different types of data within the warehouse. The course will also teach how to enhance database performance through Indexes and Partitioning, crucial for efficient data retrieval in large databases.

The capstone of the course will involve designing a Data Warehouse using AdventureWorks2016. Students will learn to create a Data Warehouse Database and apply their cumulative knowledge of schemas, fact tables, dimension tables, and performance optimization to this process.

Ideal for aspiring data professionals, this course emphasizes practical application alongside theoretical knowledge, providing a well-rounded understanding of data warehousing. Whether you’re aiming for a role as a data analyst, database administrator, or data scientist, or just looking to augment your skills in handling business data, this course offers comprehensive, valuable insights into data warehousing using SQL Server.

English
language

Content

Introduction to Data Warehousing

Introduction
Understanding Data Warehousing Concepts
Need for Data Warehouses
Components of Data Warehouses
Different Types of Data Warehouses
Overview of Business Intelligence
Databases vs Data Warehouse
Introduction to SQL and T-SQL

Database Management Systems

Introduction to DBMS
Understanding RDBMS
SQL Server as a DBMS

Microsoft SQL Server Setup

SQL Server Editions
SQL Server Installation Requirements
Download SQL Server
Install SQL Server
SQL Server Configuration Manager
Install SQL Server Management Studio
Connect to SQL Server with SSMS
Restore sample database
Introduction to AdventureWorks2016 Database
Basic SQL Server Operations
Creating a new database
Creating a new table
Inserting records into table
Reading data from table

Designing a Data Warehouse

Star Schema and Snowflake Schema
Dimension and Fact Tables
Indexes and Partitioning
Designing a Data Warehouse using AdventureWorks2016
Capstone Project: designing a Data Warehouse using AdventureWorks2016