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20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

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Course Overview

This course describes how to implement a data warehouse platform to support a BI solution. 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.

Course Length: 5 days

Audience: Database professionals who need to fulfill 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.

Prerequisites:   At 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). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

What You're Going To Learn

  • Learn to describe data warehouse concepts and architecture considerations.
  • Learn to select an appropriate hardware platform for a data warehouse.
  • Learn to design and implement a data warehouse.
  • Learn to implement Data Flow in an SSIS Package.
  • Learn to implement Control Flow in an SSIS Package.
  • Learn to debug and Troubleshoot SSIS packages.
  • Learn to implement an ETL solution that supports incremental data extraction.
  • Learn to implement an ETL solution that supports incremental data loading.
  • Learn to implement data cleansing by using Microsoft Data Quality Services.
  • Learn to implement Master Data Services to enforce data integrity.
  • Learn to extend SSIS with custom scripts and components.
  • Learn to deploy and Configure SSIS packages.
  • Learn to describe how BI solutions can consume data from the data warehouse.

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Course Outline

Introduction to Data Warehousing

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
  • Lab: Exploring a Data Warehousing Solution

Data Warehouse Hardware Considerations

  • Considerations for building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances
  • Lab: Planning Data Warehouse Infrastructure

Designing and Implementing a Data Warehouse

  • Logical Design for a Data Warehouse
  • Physical design for a data warehouse
  • Lab: Implementing a Data Warehouse Schema

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

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