Implementing a Data Warehouse with Microsoft SQL Server 2014 (M20463)
Course ID
Course Description
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.
Prerequisites
- 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, profitability, and financial account
Audience
- 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
Course Content
- 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
For More Information
For training inquiries, call 850-308-1376
or email us at eramos@gbsi.com
Course Details
Duration - 5 days
Price - $3095.00 USD
(Discounts may apply. Call for more information.)
Course Actions
Acceletrain Collaborative Learning Environment (formerly know as VILT) places industry certified and expert instructors, peers, learners and multi-media components into a "borderless classroom", and interactive learning environment that can span multiple physical locations. VILT combines the benefits of the traditional brick-and-mortar classroom with innovative learning techniques and the cost savings of internet-based training.