Introduction
Introduction To Data Warehouse-Part1
Introduction To Data Warehouse-Part2
Introduction To Data Warehouse-Part3
Introduction To Data Warehouse-Part4
Introduction To Data Warehouse-Part5
Introduction To Data Warehouse-Part6
In this course you will learn how to create Business Intelligence (BI) solutions. This course will teach you how to implement a data warehouse platform to support a BI solution. You will learn how to create a data warehouse with Microsoft SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
What you’ll
learn
Introduction to Data Warehouse
Creating Dimensions and Changing Granularity of Dimensions
Creating Fact Tables and ColumnStore Indexes
Implementing Data Warehouse in SQL Server 2012
Working with Integration Services
Managing Control Flow
Working with Dynamic Variables
Implementing Data Flow
Managing Data Flow
Managing SSIS Package Execution
Debugging and Troubleshooting
Deploying Packages
Securing Packages and Databases
Working with MDS and Windows
This Microsoft 70-463: Implementing a Data Warehouse with SQL Server exam is designed to assess the knowledge and skills of ETL and data warehouse developers who are responsible for developing Business Intelligence (BI) solutions, such as performing data cleansing tasks and implementing Extract Transform Load processes in a data warehouse.
Introduction
Introduction To Data Warehouse-Part1
Introduction To Data Warehouse-Part2
Introduction To Data Warehouse-Part3
Introduction To Data Warehouse-Part4
Introduction To Data Warehouse-Part5
Introduction To Data Warehouse-Part6
Creating Dimensions And Changing Granularity Of Dimensions-Part1
Creating Dimensions And Changing Granularity Of Dimensions-Part2
Creating Dimensions And Changing Granularity Of Dimensions-Part3
Creating Dimensions And Changing Granularity Of Dimensions-Part4
Creating Dimensions And Changing Granularity Of Dimensions-Part5
Creating Dimensions And Changing Granularity Of Dimensions-Part6
Creating Fact Tables And Column Store Indexes-Part1
Creating Fact Tables And Column Store Indexes-Part2
Creating Fact Tables And Column Store Indexes-Part3
Creating Fact Tables And Column Store Indexes-Part4
Creating Fact Tables And Column Store Indexes-Part5
Implementing Data Warehouse-Part1
Implementing Data Warehouse-Part2
Implementing Data Warehouse-Part3
Implementing Data Warehouse-Part4
Working With Integration Services-Part1
Working With Integration Services-Part2
Working With Integration Services-Part3
Working With Integration Services-Part4
Working With Integration Services-Part5
Working With Integration Services-Part6
Managing Control Flow-Part1
Managing Control Flow-Part2
Managing Control Flow-Part3
Managing Control Flow-Part4
Managing Control Flow-Part5
Working With Dynamic Variables-Part1
Working With Dynamic Variables-Part2
Working With Dynamic Variables-Part3
Working With Dynamic Variables-Part4
Working With Dynamic Variables-Part5
Working With Dynamic Variables-Part6
Working With Dynamic Variables-Part7
Working With Dynamic Variables-Part8
Implementing DataFlow-Part1
Implementing DataFlow-Part2
Implementing DataFlow-Part3
Implementing DataFlow-Part4
Implementing DataFlow-Part5
Implementing DataFlow-Part6
Implementing DataFlow-Part7
Implementing DataFlow-Part8
Managing DataFlow-Part1
Managing DataFlow-Part2
Managing DataFlow-Part3
Managing DataFlow-Part4
Managing SSIS Package Execution-Part1
Managing SSIS Package Execution-Part2
Managing SSIS Package Execution-Part3
Managing SSIS Package Execution-Part4
Managing SSIS Package Execution-Part5
Managing SSIS Package Execution-Part6
Debugging And Troubleshooting-Part1
Debugging And Troubleshooting-Part2
Debugging And Troubleshooting-Part3
Debugging And Troubleshooting-Part4
Deploying Packages-Part1
Deploying Packages-Part2
Deploying Packages-Part3
Securing Packages And Databases-Part1
Securing Packages And Databases-Part2
Working With MDS And Windows Azure
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You’ll learn how to create Business Intelligence (BI) solutions. The course teaches you how to implement a data warehouse platform to support a BI solution. You’ll also get the chance to learn how to create a data warehouse with Microsoft SQL Server 2012, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
The course is six training hours long. It consists of 69 videos and 14 topics, and it provides you with 101 practice questions.
The course is available through an All Access Monthly Subscription. This gives you access to over 2,500 hours of on-demand content. You can start a 7-day free trial with no obligation and you can cancel anytime.
Yes, while the exam associated with this course has been retired, the course itself remains a valuable resource for training. It’s especially beneficial for ETL and data warehouse developers who are developing Business Intelligence (BI) solutions.
The exam measures your ability to create and execute a data warehouse that exemplifies efficiency, performance, and scalability.
