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Implementing a SQL Data Warehouse (MOC-20767)

MOC-20767 (5 Days)

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SQL Server Training Overview

This SQL Server training class, Microsoft course 20767 - Implementing a SQL Data Warehouse, teaches attendees how to implement a data warehouse platform to support a business intelligence solution. Students learn how to create a data warehouse with Microsoft SQL Server and with Azure SQL Data Warehouse, implement ETL (Extract, Transform, and Load) with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Note: This class is appropriate for SQL Server 2016 and 2017.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

SQL Server Training 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

SQL Server Training Outline

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Introduction to Data Warehousing
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
Planning Data Warehouse Infrastructure
  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances
Designing and Implementing a Data Warehouse
  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse
Columnstore Indexes
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
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
Creating an ETL Solution
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
Implementing Control Flow in an SSIS Package
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
Debugging and Troubleshooting SSIS Packages
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
Implementing an Incremental ETL Process
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Temporal Tables
Enforcing Data Quality
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data
Using Master Data Services
  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
Extending SQL Server Integration Services (SSIS)
  • Using Custom Components in SSIS
  • Using Scripting in SSIS
Deploying and Configuring SSIS Packages
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
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
Conclusion
Request Pricing
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

MOC-20767

Duration:

5 Days

Prerequisites:

In addition to their professional experience, students should have least 2 years’ experience of working with relational databases, including:

  •  Designing a normalized database
  •  Creating tables and relationships
  •  Querying with Transact-SQL
  •  Some exposure to basic programming constructs (such as looping and branching)

Awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Training Materials:

All SQL Server training students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Internet Explorer, Mozilla Firefox, or Google Chrome will be fine.

When you call us about purchasing this class, we will provide a live demo of the online lab environment so that you may explore the web browser interface in more detail.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

925B Peachtree Street, NE
PMB 378
Atlanta, GA 30309-3918
USA

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