Would you like to achieve an excellent online accredited Microsoft qualification, which will demonstrate a high level of skill and knowledge? Look no further than this fantastic 70-463 Implementing a Data Warehouse with Microsoft SQL Server online course.
Microsoft courses demonstrate a high level of skill, and have been expertly created for IT professionals who hope to become certified. Global Edulink provides excellent training which will guarantee your success in your chosen Microsoft exam. For those hoping to take the 70-463 Implementing a Data Warehouse with Microsoft SQL Server exam, this is the course for you. This is a practice lab course, which will allow you to develop practical skills, and will be necessary to enable you to successfully pass the 70-463 Implementing a Data Warehouse with Microsoft SQL Server exam.
The 70-463 Practice Lab will provide you with the necessary platform to gain hands on skills in Microsoft SQL Server 2012 Data Warehouse concepts. By completing the lab tasks you will improve your practical skills in implementing Microsoft SQL Server data warehouse, managing connection managers, data flows, deploy SSIS solutions, control flows, data loads, data quality services, data management solutions and managing data quality.
Learning with Global Edulink has many advantages. The course material is delivered straight to you, and can be adapted to fit in with your lifestyle. It is created by experts within the industry, meaning you are receiving accurate information, which is up-to-date and easy to understand.
This course is comprised of professionally narrated e-Learning modules, interactive quizzes, tests and exams. All delivered through a system that you will have access to 24 hours a day, 7 days a week for 365 days (12 months). An effective support service and study materials will build your confidence to secure your qualification.
As part of this practice lab course, you will:
|1: design and implement a data warehouse|
|2: define connection managers|
|3: implementing data flow|
|4: managing ssis package execution|
|5: implementing script tasks|
|6: implement control flow|
|7: implement data load options|
|8: troubleshoot data integration issues|
|9: install and maitain ssis components|
|10: implement auditing logging and event handling|
|11: deploy ssis solutions|
|12: install and maintain data quality services|
|13: implement master data management solutions|
|14: manage master data management solutions|
|15: create a data quality project to clean data|
|16: manage data quality project to clean data|
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