10777 Implementing a Data Warehouse with Microsoft SQL Server 2012

Course Objectives

This instructor led course is part of a 9-day Boot Camp package that prepares students to achieve their MCSA: SQL Server 2012. This 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.

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 Data Flow in an SSIS Package.
Debug and Troubleshoot SSIS packages.
Implement an SSIS solution that supports incremental DW loads and changing data.
Integrate cloud data into a data warehouse ecosystem infrastructure.
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity at source.
Extend SSIS with custom scripts and components.
Deploy and Configure SSIS packages.
Describe how information workers can consume data from the data warehouse

The 10777: Implementing a Data Warehouse with Microsoft SQL Server 2012 Course prepare students for the following Exams

70-463 : Implementing Data Warehouses with Microsoft SQL Server 2012

Course Outline

Module 1: Introduction to Data Warehousing
Describe data warehouse concepts and architecture considerations
Considerations for a Data Warehouse Solution
Module 2: Data Warehouse Hardware Considerations
The Challenges of Building a Data Warehouse
Data Warehouse Reference Architectures
Data Warehouse Appliances
Module 3: Designing and Implementing a Data Warehouse
Logical Design for a Data Warehouse
Physical Design for a Data Warehouse
Module 4: Design and implement a schema for a data warehouse
Introduction to ETL with SSIS
Exploring Source Data
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 an Incremental ETL Process
Introduction to Incremental ETL
Extracting Modified Data
Loading Modified Data
Module 8: Incorporating Data from the Cloud in a Data Warehouse
Overview of Cloud Data Sources
SQL Server Azure
Azure Data Market
Module 9: Enforcing Data Quality
Introduction to Data Cleansing
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Module 10: Using Master Data Services
Master Data Services Concepts
Implementing a Master Data Services Model
Using the Master Data Services Excel Add-in
Module 11: Extending SSIS
Using Custom Components in SSIS
Using Scripting in SSIS
Module 12: Deploying and Configuring SSIS Packages
Overview of Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Module 13: Consuming Data in a Data Warehouse
Using Excel to Analyze Data in a data Warehouse.
An Introduction to PowerPivot
An Introduction to Crescent