Implementing a Data Warehouse with Microsoft SQL Server 2012 Training Course
Course 10777
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Course Overview
Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This five-day instructor-led course focuses on teaching individuals 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. This course helps people prepare for exam 70-463. Important: course 10776 has been retired and has been replaced by course 20463. Course Outline
Module 1: 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 starting a data warehousing project. Lessons
Module 2: Data Warehouse Hardware This module describes the characteristics of typical data warehouse workloads, and explains how you can use reference architectures and data warehouse appliances to ensure you build the system that is right for your organization. Lessons
Module 3: Designing and Implementing a Data Warehouse In this module, you will learn how to implement the logical and physical architecture of a data warehouse based on industry-proven design principles. Lessons
Module 4: Creating an ETL Solution with SSIS 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. Lessons
Module 5: Implementing Control Flow in an SSIS Package Control flow in SQL Server Integration Services packages enables you to implement complex ETL solutions that combine multiple tasks and workflow logic. This module covers how to implement control flow, and design robust ETL processes for a data warehousing solution that coordinate data flow operations with other automated tasks. Lessons
Module 6: Debugging and Troubleshooting SSIS Packages This module describes how you can debug SQL Server Integration Services (SSIS) packages to find the cause of errors that occur during execution. Then module then covers the logging functionality built into SSIS you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow. Lessons
Module 7: Implementing an Incremental ETL Process This module describes the techniques you can use to implement an incremental data warehouse refresh process. Lessons
Module 8: Incorporating Data from the Cloud into a Data Warehouse In this module, you will learn about how you can use cloud computing in your data warehouse infrastructure and learn about the tools and services available from the Microsoft Azure Marketplace. Lessons
Module 9: Enforcing Data Quality Ensuring the high quality of data is essential if the results of data analysis are to be trusted. This module explains how to use the SQL Server 2012 Data Quality Services (DQS) to provide a computer assisted process for cleansing data values and identifying and removing duplicate data entities. Lessons
Module 10: Using Master Data Services This module introduces Master Data Services and explains the benefits of using it in a data warehousing context. The module also describes the key configuration options for Master Data Services, and explains how to import and export data. Finally, the module explains how to apply rules that help to preserve data integrity, and introduces the new Master Data Services Add-in for Excel. Lessons
Module 11: Extending SQL Server Integration Services This module describes the techniques you can use to extend SQL Server Integration Services (SSIS). The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS. Lessons
Module 12: Deploying and Configuring SSIS Packages SQL Server Integration Services provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this module, you will learn how to use these tools to install packages and their dependencies on a target computer. Lessons
Module 13: Consuming Data in a Data Warehouse This module introduces Business Intelligence (BI), describes the components of SQL Server that you can use to create a BI solution, and the client tools that users can use to create reports and analyze data. Lessons
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