Implementing a SQL Data Warehouse (M20767)

Duur
5 dagen
Prijs

€ 2395,-
Beoordeling
436. reviews
Locatie

Nieuwegein
Planning

Planning ophalen...
Lesmethode
Klassikaal

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Vijfhart is verkozen tot opleider van het jaar door Computable

Algemeen

*** Acceptatie data *** 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® 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.

Doel

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

Doelgroep

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.

Voorkennis

Onderstaande voorkennis is vereist:

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

Onderstaande voorkennis wordt beschouwd als een pre:

Querying Data with Transact-SQL (M20761) of vergelijkbare kennis.

Matthijs Kuipers

Accountmanager

E. matthijs@vijfhart.nl

Onderwerpen

Module 1: Introduction to Data Warehousing
Module 2: Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Data Warehouse
Module 4: Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
Module 6: Creating an ETL Solution
Module 7: Implementing Control Flow in an SSIS Package

Module 8: Debugging and Troubleshooting SSIS Packages
Module 9: Implementing an Incremental ETL Process
Module 10: Enforcing Data Quality
Module 11: Using Master Data Services
Module 12: Extending SQL Server Integration Services (SSIS)
Module 13: Deploying and Configuring SSIS Packages
Module 14: Consuming Data in a Data Warehouse

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Module 1: Introduction to Data Warehousing
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
- Considerations for Building a Data Warehouse
- Data Warehouse Reference Architectures and Appliances
Module 3: Designing and Implementing a Data Warehouse
- Logical Design for a Data Warehouse
- Physical Design for a Data Warehouse
Module 4: Columnstore Indexes
- Introduction to Columnstore Indexes
- Creating Columnstore Indexes
- Working with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse
- 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
- Introduction to ETL with SSIS
- Exploring Source Data
- Implementing Data Flow
Module 7: Implementing Control Flow in an SSIS Package
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers

Module 8: Debugging and Troubleshooting SSIS Packages
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in an SSIS Package
Module 9: Implementing an Incremental ETL Process
- Introduction to Incremental ETL
- Extracting Modified Data
- Temporal Tables
Module 10: Enforcing Data Quality
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Match Data
Module 11: Using Master Data Services
- 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)
- Using Custom Components in SSIS
- Using Scripting in SSIS
Module 13: Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Module 14: Consuming Data in a Data Warehouse
- Introduction to Business Intelligence
- Introduction to Reporting
- An Introduction to Data Analysis
- Analyzing Data with Azure SQL Data Warehouse

Planning & Prijs

* *Een cursus met start gegarandeerd.
*Een cursus met valt onder de actie Summer Academy.

Alle prijzen zijn excl. BTW.

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