Implementing an SQL Data Warehouse (20767)
Details
Outline
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.
At Course Completion:
- 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 Service
- 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
Speaker/s
Special Offer
- Courseware (please indicate if you would prefer a hard copy or e-book)
- Online labs for up to 180 days
- Full technical support for 3 months following delivery, for this course.
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In the case of Microsoft training, both public and private courses are provided using:
- active, current Microsoft Certified Trainers experienced in the area who have passed the relevant certification exam.
- official courseware and virtual lab materials only.
- Course management provided in association with a Certified Partner for Learning Solutions (CPLS) centre training provider (where it has not been possible for MBIT to manage the course directly ourselves). ...
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