Davenport, Iowa Microsoft Official Course 20463 SQL Server Training - Dynamics Edge

Davenport, Iowa MOC Course 20463 SQL Server Training -> Implementing a Data Warehouse with Microsoft SQL Server 2014

Dynamics Edge4.67 4.67 out of 50 stars, based on 80 reviews.*
CourseStart DateEnd DateLocationLength
07/08/201907/12/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
07/08/201907/12/2019
Live VirtualLive Virtual
Live Virtual
5 days
08/05/201908/09/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
08/05/201908/09/2019
Live VirtualLive Virtual
Live Virtual
5 days
09/09/201909/13/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
09/09/201909/13/2019
Live VirtualLive Virtual
Live Virtual
5 days
10/07/201910/11/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
10/07/201910/11/2019
Live VirtualLive Virtual
Live Virtual
5 days
11/04/201911/08/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
11/04/201911/08/2019
Live VirtualLive Virtual
Live Virtual
5 days
12/09/201912/13/2019
Davenport, IowaDavenport, Iowa
Davenport, Iowa
5 days
12/09/201912/13/2019
Live VirtualLive Virtual
Live Virtual
5 days

Make a selection of Dynamics Edge MOC Course 20463 excellent SQL Server training class and you should be well on your way. Custom courses could be an option for you.

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.

Who Should Attend

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

Course Outline

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

Module 2: Planning Data Warehouse Infrastructure

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

Lessons

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

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

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

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

Module 7: Implementing a Data Extraction Solution

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons

Module 8: Loading Data into a Data Warehouse

This module describes the techniques you can use to implement data warehouse load process.

Lessons

Module 9: 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

Module 10: 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

Module 11: 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

Module 12: 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

Module 13: 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

Labs

Lab: Exploring a Data Warehousing Solution
Lab: Planning Data Warehouse Infrastructure
Lab: Implementing a Data Warehouse
Lab: Implementing Data Flow in an SSIS Package
Lab: Implementing Control Flow in an SSIS Package
Lab: Using Transactions and Checkpoints
Lab: Debugging and Troubleshooting an SSIS Package
Lab: Extracting Modified Data
Lab: Loading a Data Warehouse
Lab: Cleansing Data
Lab: Implementing Master Data Services
Lab: Using Custom Scripts
Lab: Deploying and Configuring SSIS Packages
Lab: Using a Data Warehouse

What You'll Learn

After completing this course, students will be able to:

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Last updated: 2019-06-16

Davenport, Iowa SQL Server Training

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