20767 Implementing a SQL Data Warehouse

Ready to learn how to implement a SQL data warehouse with confidence? This course from New Horizons will prepare you to create advanced BI solutions and advance your career.

In the "Implementing a SQL Data Warehouse course", you’ll learn how to provision a Microsoft SQL Server database both on-premises and in Azure.

20767 Implementing a SQL Data Warehouse

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Learning Objectives

Are you a BI professional ready to take your career to the next level? After finishing this course, you will have the skills needed to install and provision a data warehouse platform, migrate from an existing install and much more.

This course empowers you to:

  • Describe the main hardware required to build a data warehouse
  • Execute logical and physical design for a data warehouse
  • Create columnstore indexes and dynamic packages that include variables and parameters
  • Implement an Azure SQL Data Warehouse
  • Represent the key features of SSIS
  • Apply control flow by using tasks and precedence constraints
  • Debug and deploy SSIS projects
  • Understand the considerations to implement an ETL solution
  • Enable Data Quality Services and a Master Data Services model
  • Interpret how to use custom components to extend SSIS
  • Define common BI scenarios

 

Course Details

Course Outline

1 - Introduction to Data Warehousing
  • Gain an Introduction to Data Warehousing
  • Consider Factors Involved in a Data Warehouse Solution
  • Lab: Exploring a Data Warehouse Solution
  • 2 - Planning Data Warehouse Infrastructure
  • Review Considerations for Building a Data Warehouse
  • Plan Data Warehouse Hardware
  • Lab: Planning Data Warehouse Infrastructure
  • 3 - Designing and Implementing a Data Warehouse
  • Design Dimension Tables and Fact Tables
  • Determine Physical Design for a Data Warehouse
  • Lab: Implementing a Data Warehouse Schema
  • 4 - ColumnStore Indexes
  • Review Columnstore Indexes
  • Create and Work with Columnstore Indexes
  • Lab: Using Columnstore Indexes
  • 5 - Implementing an Azure SQL Data Warehouse
  • Understand the Advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Develop an Azure SQL Data Warehouse
  • Migrate to an Azure SQL Data Warehouse
  • Copy Data with the Azure Data Factory
  • Lab: Implementing an Azure SQL Data Warehouse
  • 6 - Creating an ETL Solution
  • Gain an Introduction to ETL with SSIS
  • Explore Source Data
  • Implement Data Flow
  • Lab: Implementing Data Flow in an SSIS Package
  • 7 - Implementing Control Flow in an SSIS Package
  • Introduce Control Flow
  • Create Dynamic Packages
  • Adopt Containers
  • Lab: Implementing Control Flow in an SSIS Package
  • Lab: Using Transactions and Checkpoints
  • 8 - Debugging & Troubleshooting SSIS Packages
  • Debug an SSIS Package
  • Log SSIS Package Events
  • Handle Errors in an SSIS Package
  • Lab: Debugging and Troubleshooting an SSIS Package
  • 9 - Implementing a Data Extraction Solution
  • Navigate Incremental ETL
  • Extract and Load Modified Data
  • Manage Temporal Tables
  • Lab: Extracting Modified Data
  • Lab: Loading Incremental Changes
  • 10 - Enforcing Data Quality
  • Apply Data Quality Services to Cleanse Data
  • Use Data Quality Services to Match Data
  • Lab: Cleansing Data
  • Lab: De-Duplicating Data
  • 11 - Using Master Data Services
  • Become Familiar with Master Data Services
  • Execute a Master Data Services Model
  • Create a Master Data Hub
  • Lab: Implementing Master Data Services
  • 12 - Extending SQL Server Integration Services (SSIS)
  • Utilize Custom Components in SSIS
  • Perform Scripting in SSIS
  • Lab: Using Scripts and Custom Components
  • 13 - Deploying and Configuring SSIS Packages
  • Review SSIS Deployment
  • Deploy SSIS Projects
  • Plan SSIS Package Execution
  • Lab: Deploying and Configuring SSIS Packages
  • 14 - Consuming Data in a Data Warehouse
  • Understand Basic Concepts of Business Intelligence, Reporting and Data Analysis
  • Analyze Data with Azure SQL Data Warehouse
  • Lab: Using Business Intelligence Tools
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    If you are a database professional looking to further your career in business intelligence development, this course is ideal for you. It will also benefit you if you’re responsible for data warehouse implementation, ETL or data cleansing in your day-to-day role.

    Other Prerequisites

    Your success is our top priority. To ensure you’re fully prepared for the course material, you should have at least two years of professional experience working with relational databases. You should also have basic knowledge of the Windows operating system and foundational database design skills.

    20767 Implementing a SQL Data Warehouse

    $2,975 | This course is SATV-Eligible
    Course Length : 5 Days (40 Hours)
     

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