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Implementing a SQL Data Warehouse (MS20767)

This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Pohađajte naše zvanične Microsoft obuke u Beogradu, putem virtuelne učionice (online, uživo) ili u vašim prostorijama (on-site).

Specijalni popusti se odobravaju prilikom prijave više učesnika koji istovremeno pohađaju obuku iz vaše kompanije, državni i neprofitni sektor, itd. Kontaktirajte nas da biste saznali više.

Termini obuke

Beograd
Planirani datumPlanirani datum
01.03.2021
675€
 
Srpski
Novi Sad
Planirani datumPlanirani datum
01.03.2021
675€
 
Srpski
Virtuelna učionica
Planirani datumPlanirani datum
01.03.2021
675€
 
Srpski
675€
Trajanje obuke: 
5 dana / 35 sati

Privatni trening

On-site / Online
Minimalan broj polaznika: 3
5 dana / 35 sati
Cena na zahtev
srpski ili engleski
Plan obuke: 

Module 1: Introduction to Data Warehousing

This module describes data warehouse concepts and architecture consideration.

  • 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 data warehouse infrastructure.
  • Planning data warehouse hardware.

Module 3: Designing and Implementing a Data Warehouse

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

  • Data warehouse design overview
  • Designing dimension tables
  • Designing fact tables
  • 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
  • Copying data with the Azure data factory

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
  • Managing consistency

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 a Data Extraction Solution

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

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading 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.

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • 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 scripting in SSIS
  • Using custom components 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
  • An Introduction to Data Analysis
  • Introduction to reporting
  • Analyzing Data with Azure SQL Data Warehouse

 

Benefiti: 
  • Video snimak predavanja u periodu od 180 dana posle kraja obuke

  • Pristup laboratorijama putem Interneta 180 dana od kraja obuke
  • Materijal u elektronskom obliku

  • Zvaničan Microsoft sertifikat o pohađanju kursa

  • Mogućnost korišćenja Microsoft SA vaučera za plaćanje ove obuke
Poželjno predznanje: 

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design.

Kontaktirajte nas za više informacija o ceni:

Eccentrix
Office: +381 11 71 38 192
Mobile: +381 65 31 38 195
E-mail: Jelena.Mijanovic@eccentrix.rs

Milutina Milankovića 9đ,
11070 Novi Beograd
www.eccentrix.rs

Eccentrix
Office: +381 11 71 38 192
Mobile: +381 65 31 38 197
E-mail: Boris.Gigovic@eccentrix.rs

Milutina Milankovića 9đ,
11070 Novi Beograd
www.eccentrix.rs