Implementing a Data Warehouse with Microsoft SQL Server - Course 20463

5 Days

Description

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 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.

Note: This course is designed for customers 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.  

Audience Profile

This course is intended for database professionals who need to create and support a data warehousing solution. Primary responsibilities include:

  • Implementing a data warehouse.
  • Developing SSIS packages for data extraction, transformation, and loading.
  • Enforcing data integrity by using Master Data Services.
  • Cleansing data by using Data Quality Services.

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.

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Virtual Classroom Live
November 06, 2017

$2,295.00
5 Days    11:00am EST - 7:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

Course Overview

  • 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.
    • Lessons
      • Overview of Data Warehousing
      • Considerations for a Data Warehouse Solution
    • Lab : Exploring a Data Warehousing Solution
    • After completing this module, you will be able to:
      • Describe the key elements of a data warehousing solution
      • Describe the key considerations for a data warehousing project
  • Module 2: Data Warehouse Hardware Considerations
  • This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
    • Lessons
      • Considerations for building a Data Warehouse
      • Data Warehouse Reference Architectures and Appliances
    • Lab : Planning Data Warehouse Infrastructure
    • After completing this module, you will be able to:
      • Describe key considerations for BI infrastructure.
      • Plan data warehouse infrastructure.
  • 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.
    • Lessons
      • Logical Design for a Data Warehouse
      • Physical design for a data warehouse
    • Lab : Implementing a Data Warehouse Schema
    • After completing this module, you will be able to:
      • Describe a process for designing a dimensional model for a data warehouse
      • Design dimension tables for a data warehouse
      • Design fact tables for a data warehouse
      • Design and implement effective physical data structures 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.
    • Lessons
      • Introduction to ETL with SSIS
      • Exploring Data Sources
      • Implementing Data Flow
    • Lab : Implementing Data Flow in an SSIS Package
    • After completing this module, you will be able to:
      • Describe the key features of SSIS.
      • Explore source data for an ETL solution.
      • Implement a data flow by using SSIS
  • Module 5: Implementing Control Flow in an SSIS Package
  • This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
    • Lessons
      • Introduction to Control Flow
      • Creating Dynamic Packages
      • Using Containers
      • Managing Consistency
    • Lab : Implementing Control Flow in an SSIS Package
    • Lab : Using Transactions and Checkpoints
    • After completing this module, you will be able to:
      • Implement control flow with tasks and precedence constraints
      • Create dynamic packages that include variables and parameters
      • Use containers in a package control flow
      • Enforce consistency with transactions and checkpoints
  • 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.
    • Lessons
      • Debugging an SSIS Package
      • Logging SSIS Package Events
      • Handling Errors in an SSIS Package
    • Lab : Debugging and Troubleshooting an SSIS Package
    • After completing this module, you will be able to:
      • Debug an SSIS package
      • Implement logging for an SSIS package
      • Handle 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.
    • Lessons
      • Introduction to Incremental ETL
      • Extracting Modified Data
      • Loading Modified data
    • Lab : Extracting Modified Data
    • Lab : Loading Incremental Changes
    • After completing this module, you will be able to:
      • Plan data extraction
      • Extract 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.
    • Lessons
      • Introduction to Data Quality
      • Using Data Quality Services to Cleanse Data
      • Using Data Quality Services to Match data
    • Lab : Cleansing DataLab : De-duplicating data
    • After completing this module, you will be able to:
      • Describe how Data Quality Services can help you manage data quality
      • Use Data Quality Services to cleanse your data
      • Use 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.
    • Lessons
      • Master Data Services Concepts
      • Implementing a Master Data Services Model
      • Managing Master Data
      • Creating a Master Data Hub
    • Lab : Implementing Master Data Services
    • After completing this module, you will be able to:
      • Describe key Master Data Services concepts
      • Implement a Master Data Services model
      • Use Master Data Services tools to manage master data
      • Use Master Data Services tools to create 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.
    • Lessons
      • Using Scripts in SSIS
      • Using Custom Components in SSIS
    • Lab : Using Custom Components and Scripts
    • After completing this module, you will be able to:
      • Include custom scripts in an SSIS package
      • Describe how custom components can be used to extend 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.
    • Lessons
      • Overview of SSIS Deployment
      • Deploying SSIS Projects
      • Planning SSIS Package Execution
    • Lab : Deploying and Configuring SSIS Packages
    • After completing this module, you will be able to:
      • Describe considerations for SSIS deployment.
      • Deploy SSIS projects.
      • Plan 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.
    • Lessons
      • Introduction to Business Intelligence
      • Introduction to Reporting
      • An Introduction to Data Analysis
    • Lab : Using Business Intelligence Tools
    • After completing this module, you will be able to:
      • Describe BI and common BI scenarios
      • Describe how a data warehouse can be used in enterprise BI scenarios
      • Describe how a data warehouse can be used in self-service BI scenarios

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Virtual Classroom Live
November 06, 2017

$2,295.00
5 Days    11:00am EST - 7:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

Prerequisites

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.

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Virtual Classroom Live
November 06, 2017

$2,295.00
5 Days    11:00am EST - 7:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date

Course Comments

Now Available in MOC On-Demand

As a Microsoft Certified Managed Partner, KTCS is excited to be among the first to offer this new learning product and delivery option. Enroll in our Self Paced option above to being your MOC On-Demand Training.

What is MOC On-Demand Training?

MOC On-Demand is an IT training solution designed around your schedule, budget, and learning needs. With MOC On-Demand, you can grow your knowledge and understanding of technical subjects and Microsoft technologies at a time and place that is convenient for you. MOC On-Demand combines high-quality video, reading, live hands-on labs and knowledge checks in a self-paced format to help you build skills on Microsoft technologies as your schedule allows—all at once or five minutes at a time. The modular, self-directed course structure adapts to your learning needs and learning style.

Want more information? Call us 8664446548

Upcoming Classes

Virtual Classroom Live
October 23, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Virtual Classroom Live
November 06, 2017

$2,295.00
5 Days    11:00am EST - 7:00pm EST
view class details and enroll
Classroom Live
November 27, 2017

Eagan-KTCS, MN
$2,295.00
5 Days    9:00am - 5:00pm
view class details and enroll
Virtual Classroom Live
November 27, 2017

$2,295.00
5 Days    9:00am PT - 4:00pm PT
view class details and enroll
Classroom Live
July 05, 2018

On-Demand
$895.00
5 Days    9:00am - 5:00pm
view class details and enroll
Private Training Available
No date scheduled, don’t see a date that works for you or looking for a private training event, please call 651-905-3729 or submit a request for further information here.
request a private session or new date