Implementing a Data Warehouse with Microsoft SQL Server (20463)

  COURSE CONTENT

This course covers implementation of a data warehouse platform to support a BI solution. Topics covered include creating a data warehouse with Microsoft SQL Server 2014, implementing extraction, transformation, and load (ETL) packages with SQL Server Integration Services, and validating and cleansing data with SQL Server Data Quality Services and SQL Server Master Data Services.

  WHO SHOULD ATTEND

Database Administrators who need to create and support a data warehousing solution.

  PREREQUISITES

  • At least 2 years of experience 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).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

  COURSE OBJECTIVES

  • 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.

  OUTLINE: Implementing a Data Warehouse with Microsoft SQL Server (20463)

Module 1: Introduction to Data Warehousing

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

Module 2: Planning Data Warehouse Infrastructure

  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware

Module 3: Designing and Implementing a Data Warehouse

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse

Module 4: Creating an ETL Solution with SSIS

  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

Module 5: Implementing Control Flow in an SSIS Package

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

Module 6: Debugging and Troubleshooting SSIS Packages

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

Module 7: Implementing a Data Extraction Solution

  • Planning Data Extraction
  • Extracting Modified Data

Module 8: Loading Data into a Data Warehouse

  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques

Module 9: Enforcing Data Quality

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

Module 10: Master Data Services

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Module 11: Extending SQL Server Integration Services

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Module 12: Deploying and Configuring SSIS Packages

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

Module 13: Consuming Data in a Data Warehouse

  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data

Labs

  • Exploring a Data Warehousing Solution
  • Planning Data Warehouse Infrastructure
  • Implementing a Data Warehouse
  • Implementing Data Flow in an SSIS Package
  • Implementing Control Flow in an SSIS Package
  • Using Transactions and Checkpoints
  • Debugging and Troubleshooting an SSIS Package
  • Extracting Modified Data
  • Loading a Data Warehouse
  • Cleansing Data
  • Implementing Master Data Services
  • Using Custom Scripts
  • Deploying and Configuring SSIS Packages
  • Using a Data Warehouse