Data warehouse concepts and architecture considerations
Select an appropriate hardware platform for a data warehouse
Design and implement a data warehouse
Implement data flow and control flow in a SSIS package
Debug and troubleshoot SSIS packages
Implement a SSIS solution that supports incremental data warehouse loads and extracting data
Implement data cleansing using Microsoft DQS
Implement Master Data Services (MDS) to enforce data integrity
Extend SSIS with custom scripts and components
Deploy and configure SSIS packages
How Business Intelligence solutions consume data in a data warehouse
Who Should Attend?
Database professionals who need to fulfill a BI developer role focused on hands-on work, creating BI solutions included data warehouse implementation, ETL, and data cleansing
Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction, loading, transferring, transforming, and enforcing data integrity using MDS, and cleansing data using DQS
Minimum two years experience working with relational databases, including designing a normalized database, creating tables and relationships
Basic programming constructs, including looping and branching
Focus on key business priorities, such as revenue, p
What You Will Learn:
1. Data Warehousing
Concepts and Architecture Considerations
Considerations for a Data Warehouse Solution
2. Data Warehouse Infrastructure
Data Warehouse Reference Architectures and Appliances
3. Design and Implement a Data Warehouse
4. Create an ETL Solution with SSIS
ETL with SSIS
Explore Source Data
Implement Data Flow
5. Implement Control Flow in an SSIS Package
Create Dynamic Packages
6. Debug and Troubleshoot SSIS Packages
Debug an SSIS Package
Log SSIS Package Events
Handle Errors in an SSIS Package
7. Implement an Incremental ETL Process
8. Enforce Data Quality
Microsoft SQL Server DQS
Use DQS to Cleanse Data
Use DQS to Match Data
9. Master Data Services
Master Data Services Concepts
Implement a Master Data Services Model
Manage Master Data and Create a Master Data Hub
10. Extend SQL Server Integration Services (SSIS)
Custom Components in SSIS
Scripting in SSIS
11. Deploy and Configure SSIS Packages
Deploy SSIS Projects
Plan SSIS Package Execution
12. Consume Data in a Data Warehouse
Business Intelligence Solutions
Reporting and Data Analysis
In this course, you will learn how to implement a data warehouse platform to support a business intelligence (BI) solution. You will discover how to create a data warehouse, implement extract, transform, and load (ETL) with SQL Server Integration Services (SSIS), and validate and cleanse data with SQL Server Data Quality Services (DQS) and SQL Server Master Data Services.
This course is designed for customers interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features of SQL Server 2014 as well as the important capabilities across the SQL Server data platform.
This course incorporates material from the Official Microsoft Learning Product 20463: Implementing a Data Warehouse with Microsoft SQL Server 2014. It covers the skills and knowledge measured by Exam 70-463 and along with on-the-job experience, helps you prepare for the exam.
Follow-On Courses: Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (M20467)
This course comes with 12 months access to the following benefits:
Practice Labs 24x7 Mentoring Indexed Class Recordings Unlimited Retakes Digital Courseware
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Discover how to implement a data warehouse platform with SQL Server 2012 or 2014.