20463 Implementing a Data Warehouse with Microsoft® SQL Server® 2014

Students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

20463 Implementing a Data Warehouse with Microsoft® SQL Server® 2014

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Learning Objectives

After completing this course, students will be able to:

  • Describe data warehouse concepts and architecture considerations.
  • Select an appropriate hardware platform for a data warehouse.
  • Design and implement a data warehouse.
  • Implement Data Flow in an SSIS Package.
  • Implement Control Flow in an SSIS Package.
  • Debug and Troubleshoot SSIS packages.
  • Implement an ETL solution that supports incremental data extraction.
  • Implement an ETL solution that supports incremental data loading.
  • Implement data cleansing by using Microsoft Data Quality Services.
  • Implement Master Data Services to enforce data integrity.
  • Extend SSIS with custom scripts and components.
  • Deploy and Configure SSIS packages.
  • Describe how BI solutions can consume data from the data warehouse.

     

    Course Details

    Course Outline

    1 - Introduction to Data Warehousing
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
  • Lab : Exploring a Data Warehousing Solution
  • 2 - Planning Data Warehouse Infrastructure
  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware
  • Lab : Planning Data Warehouse Infrastructure
  • 3 - Designing and Implementing a Data Warehouse
  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse
  • Lab : Implementing a Data Warehouse
  • 4 - Creating an ETL Solution with SSIS
  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow
  • Lab : Implementing Data Flow in an SSIS Package
  • 5 - Implementing Control Flow in an SSIS Package
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency
  • Lab : Implementing Control Flow in an SSIS Package
  • Lab : Using Transactions and Checkpoints
  • 6 - 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
  • 7 - Implementing a Data Extraction Solution
  • Planning Data Extraction
  • Extracting Modified Data
  • Lab : Extracting Modified Data
  • 8 - Loading Data into a Data Warehouse
  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques
  • Lab : Loading a Data Warehouse
  • 9 - Enforcing Data Quality
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Cleanse Data
  • Lab : Cleansing Data
  • 10 - Master Data Services
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
  • Lab : Implementing Master Data Services
  • 11 - Extending SQL Server Integration Services
  • Using Scripts in SSIS
  • Using Custom Components in SSIS
  • Lab : Using Custom Scripts
  • 12 - Deploying and Configuring SSIS Packages
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
  • Lab : Deploying and Configuring SSIS Packages
  • 13 - Consuming Data in a Data Warehouse
  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data
  • Lab : Using a Data Warehouse
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    This course is intended for database professionals who need to create and support a data warehousing solution. Primary responsibilities include:

    Implementing a data warehouse.

    Developing SSIS packages for data extraction, transformation, and loading.

    Enforcing data integrity by using Master Data Services.

    Cleansing data by using Data Quality Services.

    20463 Implementing a Data Warehouse with Microsoft® SQL Server® 2014

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

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