SQL Data Warehouse 2012 / 2014 Courses in South Africa
About this Course
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 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. 2KO delivers cutting-edge IT products in the consulting and business services space, as well as offering top-rated training for various IT vendors. Our internationally recognised courses can be offered either as hands-on full time classes, or as online learning, enabling 2KO students the opportunity to study courses online world-wide, to ensure students have access to the best training possible.
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.
Course Contents 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 you embark on a data warehousing project.
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Module 2: Data Warehouse Hardware Considerations
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
Considerations for building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
Module 3: Designing and Implementing a Data Warehouse
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.
Logical Design for a Data Warehouse
Physical design for a data warehouse
Module 4: Creating an ETL Solution with SSIS
This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.
Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow
Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
Introduction to Control Flow
Creating Dynamic Packages
Module 6: 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.
Debugging an SSIS Packag e
Logging SSIS Package Events
Handling Errors in an SSIS Package
Module 7: Implementing an Incremental ETL Process
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
Introduction to Incremental ETL
Extracting Modified Data
Loading Modified data
Module 8: Enforcing Data Quality
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match data
Module 9: Using Master Data Services
Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.
Master Data Services Concepts
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub
Module 10: Extending SQL Server Integration Services
This module describes the techniques you can use to extend 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.
Using Scripts in SSIS
Using Custom Components in SSIS
Module 11: Deploying and Configuring SSIS Packages
In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Module 12: Consuming Data in a Data Warehouse
This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.
Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis