MOC 20767: Implementing a SQL Server Data Warehouse

Kursusmål Kurset er til dig, der ønsker at lære at designe og implementere et data warehouse og opbygge ETL-processen, der overfører data fra kildesystem til data warehouse med Microsoft SQL Server.
På baggrund af kurset kan du implementere en data warehouse løsning og udvikle en ETL-løsning, der håndterer overførsel og rensning af data. Med implementeringen af et data warehouse er der derfor hurtig adgang til data, der kan anvendes til at udarbejde rapporter og analyser til gavn for forretningen.

Efter kurset vil du være i stand til at:

  • Beskrive data warehouse koncepter og arkitektur.
  • Vælge en optimal hardware platform til et data warehouse.
  • Designe og implementere et data warehouse.
  • Implementere et SQL Server data warehouse i Azure.
  • Implementere Data Flows i en SSIS pakke.
  • Implementere Control Flows i en SSIS pakke.
  • Foretage debugging og fejlfinde i SSIS pakker.
  • Implementere delta loads.
  • Implementere en ETL løsning, der understøtter delta loads.
  • Håndtere datarensning med Microsoft Data Quality Services.
  • Implementere Master Data Services.
  • Udvide SSIS med scripts og egne komponenter.
  • Distribuere og konfigurere SSIS pakker.
...

Vis mere

...
Deltagere Dette kursus er rettet mod dig, der ønsker at lære at anvende, designe og implementere et data warehouse og have fokus på ETL-processen og data.

Kurset er et teknisk kursus og forudsætter et godt kendskab til relationelle databaser, Transact-SQL og evt. programmering. Er din profil mere brugerrettet, og ønsker du at få en bredere introduktion til data warehouse og ETL-processen med SSIS, kan du med fordel tilmelde dig kurserne "Business Intelligence grundlæggende" og "SSIS grundlæggende".
Kursusmateriale Kurset bliver afholdt på dansk, men vi benytter Microsofts digitale materiale (DMOC), som er på engelsk. På kurset bliver der stillet en Surface tablet til rådighed, som kan anvendes til læsning af materialet. Du vil efterfølgende have adgang til materialet både online og lokalt. I tilfælde af at Microsoft laver en ny version af kursusmaterialet, vil du automatisk få adgang til det. Derudover vil du have adgang til øvelser via Microsoft Online Labs i 19 dage i alt, og du kan derfor fortsætte eller starte forfra på en øvelse hjemmefra, under eller efter kurset, alt efter behov.
Kursus indhold Module 1: Introduction to Data Warehousing

This modul describes data warehouse concepts and architecture considerations.

Lessons

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
Lab: Exploring a Data Warehouse 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 solution
Module 2: Planning Data Warehouse Infrastructure

This module describes the main hardware considerations for building a data warehouse.

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 the main hardware considerations for building a data warehouse
  • Explain how to use reference architectures and data warehouse appliances to create a data warehouse
Module 3: Designing and Implementing a Data Warehouse

This module describes how you go about designing and implementing a schema for a data warehouse.

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:
  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
Module 4: Columnstore IndexesThis module introduces Columnstore Indexes.

Lessons
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
Lab: Using Columnstore Indexes After completing this module, you will be able to:
  • Create Columnstore indexes
  • Work with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse

This module describes Azure SQL Data Warehouses and how to implement them.

Lessons
  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQL Data Warehouse
Lab: Implementing an Azure SQL Data Warehouse After completing this module, you will be able to:
  • Describe the advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Describe the considerations for developing an Azure SQL Data Warehouse
  • Plan for migrating to Azure SQL Data Warehouse
Module 6: Creating an ETL Solution

At the end of this module you will be able to implement data flow in a SSIS package.
Lessons
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
Lab: Implementing Data Flow in an SSIS Package After completing this module, you will be able to:
  • Describe ETL with SSIS
  • Explore Source Data
  • Implement a Data Flow
Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.
Lessons
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
Lab: Implementing Control Flow in an SSIS Package After completing this module, you will be able to:
  • Describe control flow
  • Create dynamic packages
  • Use containers
Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.

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
  • Log SSIS package events
  • Handle errors in an SSIS package
Module 9: Implementing an Incremental ETL Process

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.

Lessons
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Temporal Tables
Lab : Extracting Modified DataLab : Loading Incremental Changes After completing this module, you will be able to:
  • Describe incremental ETL
  • Extract modified data
  • Describe temporal tables
Module 10: Enforcing Data Quality

This module describes how to implement data cleansing by using Microsoft Data Quality services

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 data quality services
  • Cleanse data using data quality services
  • Match data using data quality services
  • De-duplicate data using data quality services
Module 11: Using Master Data Services

This module describes how to implement master data services to enforce data integrity at source

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 the key concepts of master data services
  • Implement a master data service model
  • Manage master data
  • Create a master data hub
Module 12: Extending SQL Server Integration Services (SSIS)

This module describes how to extend SSIS with custom scripts and components

Lessons
  • Using Custom Components in SSIS
  • Using Scripting in SSIS
Lab: Using Scripts and Custom Components After completing this module, you will be able to:
  • Use custom components in SSIS
  • Use scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS 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 an SSIS deployment
  • Deploy an SSIS package
  • Plan SSIS package execution
Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.

Lessons
  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data Analysis
  • Analyzing Data with Azure SQL Data Warehouse
Lab: Using Business Intelligence Tools After completing this module, you will be able to:
  • Describe at a high level business intelligence
  • Show an understanding of reporting
  • Show an understanding of data analysis
  • Analyze data with Azure SQL data warehouse
Du kan finde alle informationer om dette kursus ved at gå ind på http://www.4d.dk/Kurser/Backoffice/Business_Intelligence_(BI)/Ikke_angivet/638850

Har du spørgsmål?

Hvis du har yderligere spørgsmål til dette produkt eller ønsker at få fremsendt materiale i forbindelse med produktet, er du velkommen til at benytte kontaktformularen herunder.

MOC 20767: Implementing a SQL Server Data Warehouse

Forhandler
4D konsulenterne
Normalpris
19.750,00 kr
Udsalgspris
19.750,00 kr
Normalpris
Udsolgt
Pris pr. stk.
pr. 
Eksklusiv moms.

Efter aftale / Kontakt for pris

Hvis du har valgt Efter aftale, kan du udfylde formularen nedenfor og så vender vi tilbage til dig og aftaler nærmere.

Har du spørgsmål?

Hvis du har yderligere spørgsmål til dette produkt eller ønsker at få fremsendt materiale i forbindelse med produktet, er du velkommen til at benytte kontaktformularen herunder.