20767 – Implementing a SQL Data Warehouse

Description

Overview:

This five-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

Prerequisite(s):

Basic knowledge of the Microsoft Windows operating system and its core functionality; working knowledge of relational databases; some experience with database design.

Audience:

The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

Outline:

Lesson 1: Introduction to Data Warehousing

• Overview of Data Warehousing
• Considerations for a Data Warehouse Solution

Lesson 2: Planning Data Warehouse Infrastructure

• Considerations for data warehouse Infrastructure
• Planning data warehouse hardware

Lesson 3: Designing and Implementing a Data Warehouse

• Data warehouse design overview
• Designing dimension tables
• Designing fact tables
• Physical Design for a Data Warehouse

Lesson 4: Columnstore Indexes

• Introduction to Columnstore Indexes
• Creating Columnstore Indexes
• Working with Columnstore Indexes

Lesson 5: Implementing an Azure SQL Data Warehouse

• Advantages of Azure SQL Data Warehouse
• Implementing an Azure SQL Data Warehouse
• Developing an Azure SQL Data Warehouse
• Migrating to an Azure SQ Data Warehouse
• Copying data with the Azure data factory

Lesson 6: Creating an ETL Solution

• Introduction to ETL with SSIS
• Exploring Source Data
• Implementing Data Flow

Lesson 7: Implementing Control Flow in an SSIS Package

• Introduction to Control Flow
• Creating Dynamic Packages
• Using Containers
• Managing consistency

Lesson 8: Debugging and Troubleshooting SSIS Packages

• Debugging an SSIS Package
• Logging SSIS Package Events
• Handling Errors in an SSIS Package

Lesson 9: Implementing a Data Extraction Solution

• Introduction to Incremental ETL
• Extracting Modified Data
• Loading modified data
• Temporal Tables

Lesson 10: Enforcing Data Quality

• Introduction to Data Quality
• Using Data Quality Services to Cleanse Data
• Using Data Quality Services to Match Data

Lesson 11: Using Master Data Services

• Introduction to Master Data Services
• Implementing a Master Data Services Model
• Hierarchies and collections
• Creating a Master Data Hub

Lesson 12: Extending SQL Server Integration Services (SSIS)

• Using Scripting in SSIS
• Using Custom Components in SSIS

Lesson 13: Deploying and Configuring SSIS Packages

• Overview of SSIS Deployment
• Deploying SSIS Projects
• Planning SSIS Package Execution

Lesson 14: Consuming Data in a Data Warehouse

• Introduction to Business Intelligence
• An Introduction to Data Analysis
• Introduction to Reporting
• Analyzing Data with Azure SQL Data Warehouse