M10777 - Implementing a Data Warehouse with Microsoft SQL Server 2012 — A 5 day course

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Retired Course; no longer available

Synopsis

This course has been retired. Please review the M20463 Implementing a Data Warehouse with Microsoft SQL Server course instead.

The Microsoft M10777 5-day instructor-led course describes how to implement a BI platform to support information worker analytics. Students will learn how to create a data warehouse with SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Objectives

On completion of the Microsoft 10777 training course, delegates should be able to:

Suitable For

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. Primary responsibilities will include:

Prerequisites

Students who attend this training should have technical knowledge equivalent to the following course: M10774: Writing Queries with Microsoft SQL Server Transact-SQL

Schedule

This course has been retired and is no longer available.


Contents

Introduction to Data Warehousing

This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when embarking on a data warehousing project.

Data Warehouse Hardware Considerations

This module describes the considerations for selecting the appropriate hardware platform for your data warehouse solution.

Designing and Implementing a Data Warehouse

This module describes how to implement the logical and physical architecture of a data warehouse based on industry proven design principles.

Design and implement a schema for a data warehouse

This module discusses considerations for implementing an ETL process, and then focuses on SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Implementing Control Flow in an SSIS Package

This module describes how to implement control flow which allows users to design robust ETL processes for a data warehousing solution that coordinate data flow operations with other automated tasks.

Debugging and Troubleshooting SSIS Packages

This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

Implementing an Incremental ETL Process

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Incorporating Data from the Cloud in a Data Warehouse

This modules describes how integrate cloud data into a data warehouse ecosystem.

Enforcing Data Quality

This modules describes how to use Data Quality Services (DQS) for cleansing and deduplicating your data.

Using Master Data Services

This module introduces Master Data Services and explains the benefits of using it in a business intelligence (BI) context. It also describes the key configuration options, explains how to import and export data and apply rules that help to preserve data integrity, and introduces the new Master Data Services Add-in for Excel.

Extending SSIS

This module describes how to extend SSIS by using custom scripts and components.

Deploying and Configuring SSIS Packages

This modules describes how to deploy and configure SSIS packages.

Consuming Data in a Data Warehouse

This module describes how information workers can consume data from the data warehouse.