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Implementing a SQL Data Warehouse (20767A)

Koulutuksen jälkeen osaat toteuttaa tietovaraston Business Intelligence (BI) -toteutuksen tueksi.

Koulutuksen aikana käymme läpi, kuinka tietovarasto toteutetaan Microsoft SQL Server 2016-versiolla sekä Azure SQL Data Warehousella. Lisäksi opimme toteuttamaan ETL-prosessin käyttämällä SQL Server Integration Services -alustaa sekä validoimaan ja pesemään tietoja SQL Server Data Quality Services- ja SQL Server Master Data Services -työkaluilla.

Kohderyhmä

Koulutus on suunniteltu tietokanta-ammattilaisille, jotka toimivat Business Intelligence kehittämisen roolissa ja toteuttavat tietovarastoja, ETL ja datan pesua.

Esitiedot

Jotta saat parhaan hyödyn koulutuksesta, tulisi sinulla olla vähintään kahden vuoden kokemus relaatiotietokantojen kanssa työskentelystä ja kokemusta: 

  • normalisoidun tietokannan suunnittelusta
  • taulojen ja suhteiden luomisesta
  • Transact-SQL hauista.

Lisäksi sinun pitäisi hallita perus ohjelmointikäsitteet, kuten mm. silmukointi ja jakaminen. Lisäksi liiketalouden peruskäsitteiden (mm. liikevaihto, kannattavuus) hallinta auttaa omaksumaan käsiteltyjä asioita.

Kurssin materiaalit

Kurssimateriaali on englanniksi, opetus suomeksi.

Sisältö

Module 1: Introduction to Data Warehousing

Describe data warehouse concepts and architecture considerations.

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure

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

  • 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 WarehouseThis 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

Module 4: Columnstore Indexes

This module introduces Columnstore Indexes.

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse

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

  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQ 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.

  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow

Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers

Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.

  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling 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.

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Temporal Tables

Module 10: Enforcing Data Quality

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

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

Module 11: Using Master Data Services

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

  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Module 12: Extending SQL Server Integration Services (SSIS)

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

  • Using Custom Components in SSIS
  • Using Scripting in SSIS

Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.

  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data Analysis
  • Analyzing Data with Azure SQL Data Warehouse

At course completion

After completing this course, students will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the main hardware considerations for building a data warehouse
  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse
  • Create columnstore indexes
  • Implementing an Azure SQL Data Warehouse
  • Describe the key features of SSIS
  • Implement a data flow by using SSIS
  • Implement control flow by using tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Debug SSIS packages
  • Describe the considerations for implement an ETL solution
  • Implement Data Quality Services
  • Implement a Master Data Services model
  • Describe how you can use custom components to extend SSIS
  • Deploy SSIS projects
  • Describe BI and common BI scenarios

Course schedule

The training begins at 9.00 and ends around 16.-16.30. Breakfast is served since 8.30.

Ota yhteyttä

Myyntipalvelu

Myynti

010 4321 001 Ota yhteyttä

Kesto: 3 päivää
Veroton hinta (+ alv 24 %): 1 990 €

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