| | BI: Implementing a Data Warehouse with Microsoft SQL Server 2012 |
| Untertitel | |
| Kurszeiten | 08:30 - 17:00 |
| Kursort | | Der Kurs findet in der Schweiz in der Regel in Zürich statt (Technopark, ideal mit Auto und ÖV erreichbar). Bei mehreren Anmeldungen aus Bern oder Basel kann der Kurs auch in unseren Schulungsräumen Bern oder Basel durchgeführt werden. Firmenkurse können in Ihren Räumlichkeiten oder in einem unserer Schulungszentren stattfinden. | Ich wünsche anderen OrtIch habe Frage zum Ort |
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| Einleitung | This 5-day instructor-led course describes how to implement a BI platform to support information worker analytics. Students will learn how to create a data warehouse with SQL Server 2012, 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 helps people prepare for the exam 70-463. |
| Verwandte Kurse | |
| Herstellerkurs | Microsoft Nr. 10777 |
| Ihr Nutzen | 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 Data Flow in an SSIS Package.
Debug and Troubleshoot SSIS packages.
Implement an SSIS solution that supports incremental DW loads and changing data.
Integrate cloud data into a data warehouse ecosystem infrastructure.
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity at source.
Extend SSIS with custom scripts and components.
Deploy and Configure SSIS packages.
Describe how information workers can consume data from the data warehouse. |
| Voraussetzungen | In addition to their professional experience, students who attend this training should have technical knowledge equivalent to the following course:
Writing Queries with Microsoft SQL Server Transact-SQL (ZFI-Kurscode SST9) |
| Teilnehmerkreis | The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Primary responsibilities will include:
Implementing as data warehouse
Developing SSIS packages for data extraction and loading/transfer/transformation
Enforcing data integrity using Master Data Services
Cleansing data using Data Quality Services
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| Inhalt | Introduction to data warehousing
- Describe data warehouse concepts and architecture considerations
- Considerations for data warehouse solution
Data warehouse hardware considerations
- The challenges of building a data warehouse
- Data warehouse reference architectures
- Data warehouse appliances
Designing and implementing a data warehouse
- Logical design for a data warehouse
- Physical design for a data warehouse
Design an implement a schema for a data warehouse
- Introduction to ETL with SISS
Implementing control flow in an SISS package
- Introduction to control flow
- Creating dynamic packages
Debugging an troubleshooting SISS packages
- Debugging an SISS package
- Logging SISS package execution
- Implementing an event handler
- Handling errors in a data flow
Implementing an incremental ETL process
- Introduction to incremental ETL
- Extracting modified data
Incorporating data from the cloud in a data warehouse
- Overview of cloud data sources
Enforcing data quality
- Introduction to data cleansing
- Using data quality services to cleanse data
- Using data quality services to match data
Using master data services
- Master data services concepts
- Implementing a master data services model
- Using the master data services excel add-in
Extending SISS
- Using custom components in SISS
- Using Scripting in SISS
Deploying and configuring SSIS packages
- Deploying SISS projects
- Planning SISS package execution
Consuming data in a data warehouse
- Using excel to analyze data in a data warehouse
- An introdution to PowerPivot
- An Introdution to crescent
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| | Zentrum für Informatik,  Schweiz, Basel, Bern, Zürich
Zentrum für Informatik,  Deutschland, Berlin, Frankfurt, Hamburg, Köln, München, Nürnberg, Stuttgart
Zentrum für Informatik,  Österreich, Wien |
