20767 Implementing a SQL Data Warehouse
Course Summary
Training level | Microsoft® Official Curriculum |
Duration | 5 days / 40 Hours |
Delivery method | Virtual Instructor-led class |
Level | 300 |
Language | Bulgarian/English |
List price | 900 Euro VAT Excl. |
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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® 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.
- 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.
- 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
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 a Data Extraction Solution
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
Next planned dates:
Trainer: Magi Naumova

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E: office@inspirit.bg
M: +359 (888) 818 978