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Implementing a SQL Data Warehouse

Course Statues

Registration Open

Duration

7 Days, 49 Hours

Timing

9:00 AM - 04:00 PM

Availability

Weekdays - Weekends

  • Course ID: 20767
  • Exam #: 70-767
  • Seat Reservation: Before 14 Days
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Course Overview

SQL Data Warehouse 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. The course describes how to implement a SQL 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.n Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Learning Outcome

Upon successful completion of implementing a SQL data warehouse certification course, students will be able to:

  • Describe the key elements of a data warehousing solution
  • Create column store 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
  • Deploy SSIS projects
  • Describe BI and common BI scenarios
Prerequisite
  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some exposure to basic programming constructs (such as looping and branching).
Course Content
  • Introduction to Data Warehousing
  • Planning Data Warehouse Infrastructure
  • Designing and Implementing a Data Warehouse
  • Column store Indexes
  • Implementing an Azure SQL Data Warehouse
  • Creating an ETL Solution
  • Implementing Control Flow in an SSIS Package
  • Debugging and Troubleshooting SSIS Packages
  • Implementing a Data Extraction Solution
  • Enforcing Data Quality
  • Master Data Services
  • Extending SQL Server Integration Services
  • Deploying and Configuring SSIS Packages
  • Consuming Data in a Data Warehouse

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