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20767: Implementing a SQL 2016 Data Warehouse

Guaranteed to Run Scheduled Fully Booked
Location
Wellington
Dec 2020
7
Mar 2021
1
Apr 2021
12
May 2021
24
Jul 2021
5
Aug 2021
16
Sep 2021
27
Nov 2021
8
Voucher
Voucher: 5-day voucher
Code: 20767
Length: 5 Days
Overview

Learn to implement a data warehouse platform with Microsoft SQL Server 2016.

Delivery format(s)
On-Site
On-Site
On-Demand
On-Demand
Classroom
Classroom
Anywhere
Anywhere
OBJECTIVES
This 5-day instructor led 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.
PREREQUISITES
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design
  • Querying Data with Transact-SQL (20761)
WHAT YOU’LL LEARN
  • Describe the key elements of a data warehousing solution
  • Describe the main hardware consideration 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 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 Maser Data Services model
  • Describe how you can use custom components to extend SSIS
  • Deploy SSIS projects
  • Describe BI and common BI scenarios
WHO SHOULD ATTEND
  • Database professionals who need to fulfill a BI developer role focused on hands-on work by creating BI solutions, including data warehouse implementation, ETL and data cleansing
  • Database professionals responsible for implementing a data warehouse, developing SSIS packages for data ETL, enforcing data integrity using Microsoft Data Services and cleansing data using Data Quality Services
COURSE OUTLINE

1. Introduction to Data Warehousing

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

2. Planning Data Warehouse Infrastructure

  • Considerations for Building a Data Warehouse
  • Planning data warehouse hardware

3. Designing and Implementing a Data Warehouse

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

4. Columnstore Indexes

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with 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
  • Copying data with Azue data factory

6. Creating an ETL Solution

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

7. Implementing Control Flow in an SSIS Package

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

8. Debugging and Troubleshooting SSIS Packages

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

9. Implementing a Data Extraction Solution

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

10. Enforcing Data Quality

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

11. Using Master Data Services

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

12. Extending SQL Server Integration Services (SSIS)

  • Using Custom Components in SSIS
  • Using Scripting in SSIS

13. Deploying and Configuring SSIS Packages

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

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

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