Implementing a SQL Data Warehouse

26/07/2021 - 29/07/2021
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ETC Trainingcenter
Modecenterstrasse 22, 1030 - Wien

This course requires that you meet the following prerequisites:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design

This three-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server 2016 database. The course covers SQL Server 2016 provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

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After completing this course, students will be able to:

  • Provision a Database Server
  • Upgrade SQL Server
  • Configure SQL Server
  • Manage Databases and Files (shared)

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.

  1. Module 1: Introduction to Data Warehousing
      1. Overview of Data Warehousing
      2. Considerations for a Data Warehouse Solution
    1. Lab: Exploring a Data Warehouse Solution
  2. Module 2: Planning Data Warehouse Infrastructure
      1. Considerations for Building a Data Warehouse
      2. Data Warehouse Reference Architectures and Appliances
    1. Lab: Planning Data Warehouse Infrastructure
  3. Module 3: Designing and Implementing a Data Warehouse
      1. Logical Design for a Data Warehouse
      2. Physical Design for a Data Warehouse
    1. Lab: Implementing a Data Warehouse Schema
  4. Module 4: Columnstore Indexes
      1. Introduction to Columnstore Indexes
      2. Creating Columnstore Indexes
      3. Working with Columnstore Indexes
    1. Lab: Using Columnstore Indexes
  5. Module 5: Implementing an Azure SQL Data Warehouse
      1. Advantages of Azure SQL Data Warehouse
      2. Implementing an Azure SQL Data Warehouse
      3. Developing an Azure SQL Data Warehouse
      4. Migrating to an Azure SQ Data Warehouse
    1. Lab: Implementing an Azure SQL Data Warehouse
  6. Module 6: Creating an ETL Solution
      1. Introduction to ETL with SSIS
      2. Exploring Source Data
      3. Implementing Data Flow
    1. Lab: Implementing Data Flow in an SSIS Package
  7. Module 7: Implementing Control Flow in an SSIS Package
      1. Introduction to Control Flow
      2. Creating Dynamic Packages
      3. Using Containers
    1. Lab: Implementing Control Flow in an SSIS Package
    2. Lab: Using Transactions and Checkpoints
  8. Module 8: Debugging and Troubleshooting SSIS Packages
      1. Debugging an SSIS Package
      2. Logging SSIS Package Events
      3. Handling Errors in an SSIS Package
    1. Lab: Debugging and Troubleshooting an SSIS Package
      1. Log SSIS package events
      2. Handle errors in an SSIS package
  9. Module 9: Implementing an Incremental ETL Process
      1. Introduction to Incremental ETL
      2. Extracting Modified Data
      3. Temporal Tables
    1. Lab: Extracting Modified Data
    2. Lab: Loading Incremental Changes
  10. Module 10: Enforcing Data Quality
      1. Introduction to Data Quality
      2. Using Data Quality Services to Cleanse Data
      3. Using Data Quality Services to Match Data
    1. Lab: Cleansing Data
    2. Lab: De-duplicating Data
  11. Module 11: Using Master Data Services
      1. Master Data Services Concepts
      2. Implementing a Master Data Services Model
      3. Managing Master Data
      4. Creating a Master Data Hub
    1. Lab: Implementing Master Data Services
  12. Module 12: Extending SQL Server Integration Services (SSIS)
      1. Using Custom Components in SSIS
      2. Using Scripting in SSIS
    1. Lab: Using Scripts and Custom Components
  13. Module 13: Deploying and Configuring SSIS Packages
      1. Overview of SSIS Deployment
      2. Deploying SSIS Projects
      3. Planning SSIS Package Execution
    1. Lab: Deploying and Configuring SSIS Packages
  14. Module 14: Consuming Data in a Data Warehouse
      1. Introduction to Business Intelligence
      2. Introduction to Reporting
      3. An Introduction to Data Analysis
      4. Analyzing Data with Azure SQL Data Warehouse
    1. Lab: Using Business Intelligence Tools


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