MOC 20767 Implementing a SQL Data Warehouse

This instructor-led training class is presented by Microsoft training partners to their end customers. Training partners in North America and the UK hire proven AMS Subject Matter Expert Microsoft Certified Trainers (MCT’s) to teach on-site and on-line classes.

Course Overview

This 5-day course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Who Should Attend

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.

Course Objectives

After completing this course, students will be able to:

Describe the key elements of a data warehousing solution

Describe the main hardware considerations for building a data warehouse

Implement a logical design for a data warehouse

Implement a physical design for a data warehouse

Create columnstore indexes

Implementing an Azure SQL Data Warehouse

Describe the key features of SSIS

Implement a data flow by using SSIS

Implement control flow by using tasks and precedence constraints

Create dynamic packages that include variables and parameters

Debug SSIS packages

Describe the considerations for implement an ETL solution

Implement Data Quality Services

Implement a Master Data Services model

Describe how you can use custom components to extend SSIS

Deploy SSIS projects

Describe BI and common BI scenarios

Course Outline

1 – Introduction to Data Warehousing

Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehouse Solution

2 – Planning Data Warehouse Infrastructure

Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
Lab : Planning Data Warehouse Infrastructure

3 – Designing and Implementing a Data Warehouse

Logical Design for a Data Warehouse
Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse Schema

4 – Columnstore Indexes

Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Lab : Using Columnstore Indexes

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
Lab : Implementing an Azure SQL Data Warehouse

6 – Creating an ETL Solution

Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Lab : Implementing Data Flow in an SSIS Package

7 – Implementing Control Flow in an SSIS Package

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Lab : Implementing Control Flow in an SSIS Package
Lab : Using Transactions and Checkpoints

8 – Debugging and Troubleshooting SSIS Packages

Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Lab : Debugging and Troubleshooting an SSIS Package

9 – Implementing an Incremental ETL Process

Introduction to Incremental ETL
Extracting Modified Data
Temporal Tables
Lab : Extracting Modified Data
Lab : Loading Incremental Changes

10 – Enforcing Data Quality

Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Lab : Cleansing Data
Lab : De-duplicating Data

11 – Using Master Data Services

Master Data Services Concepts
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub
Lab : Implementing Master Data Services

12 – Extending SQL Server Integration Services (SSIS)

Using Custom Components in SSIS
Using Scripting in SSIS
Lab : Using Scripts and Custom Components

13 – Deploying and Configuring SSIS Packages

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Lab : Deploying and Configuring SSIS Packages

14 – Consuming Data in a Data Warehouse

Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis
Analyzing Data with Azure SQL Data Warehouse
Lab : Using Business Intelligence Tools

To Hire a proven AMS Microsoft SQL Server 2016 Subject Matter Expert who also teaches this class, Call 800-798-3901 Today!