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This official Microsoft course describes how to implement a data warehouse platform in SQL Server 2014 to support a BI solution. Students will learn how to create a data warehouse, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
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.
Plus, get prepped for Microsoft exam 70-463, a requirement for MCSA: SQL Server 2012/2014.
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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. This is a Microsoft Official Course (MOC) delivered by a Learning Tree expert instructor and is part of a Microsoft Certification Path and that can help you prepare for your MCSA Certification, MCSE Certification, or MCSD Certification.
This course requires that you meet the following prerequisites:
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
This course can help you prepare for the following Microsoft certification exam — 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
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.
LessonsAfter completing this module, students will be able to:
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
LessonsAfter completing this module, students will be able to:
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
LessonsAfter completing this module, students will be able to:
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
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.
LessonsAfter completing this module, students will be able to:
Administering Microsoft SQL Server 2014 Databases Training (20462)
A Data warehouse is a central repository of accumulated data from various data sources across the company. Microsoft SQL Server 2014 is a popular platform that can be used to create a data warehouse solution. In this SQL Server Data Warehouse training you will learn how to implement a data warehouse using Microsoft SQL Server 2014.
This course helps you prepare for the Microsoft 70-463 certification exam, Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 .
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