Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

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This course (20463C) describes how to implement a data warehouse platform to support a BI solution. Participants 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. <br> Note: This course is designed for participants who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.
This course requires that you meet the following 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.
At Course Completion:
After completing this course, students will be able to:
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.
Introduction to Data Warehousing:
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Planning Data Warehouse Infrastructure:
Considerations for Data Warehouse Infrastructure
Planning Data Warehouse Hardware
Designing and Implementing a Data Warehouse:
Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Physical Design for a Data Warehouse
Creating an ETL Solution with SSIS:
Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow
Implementing Control Flow in an SSIS Package:
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency
Debugging and Troubleshooting SSIS Packages:
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Implementing a Data Extraction Solution:
Planning Data Extraction
Extracting Modified Data
Loading Data into a Data Warehouse:
Planning Data Loads
Using SSIS for Incremental Loads
Using Transact-SQL Loading Techniques
Enforcing Data Quality:
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Cleanse Data
Master Data Services:
Introduction to Master Data Services
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub
Extending SQL Server Integration Services:
Using Scripts in SSIS
Using Custom Components in SSIS
Deploying and Configuring SSIS Packages:
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Consuming Data in a Data Warehouse:
Introduction to Business Intelligence
Enterprise Business Intelligence
Self-Service BI and Big Data