MOC 20463

Implementing a Data Warehouse with Microsoft® SQL Server® 2014

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
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
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
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
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
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
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
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
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
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
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
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 

Dauer: 5 Tage

Preis bei einer Person
2.750,00 € (Preise im Borussia-Park abweichend)


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