Implementing a SQL Data Warehouse
This five-day instructor-led course provides students with the knowledge and skills to provision a SQL Server database.
Last updated 3 years ago
152 students are interested in this course
PROVIDED BY
Rakict
What you will learn
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
General Description
This five-day instructor-led course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.
Audience Profile
The primary audience for this course is database professionals who need to fulfill 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.
Prerequisites
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.
Course Outline
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
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