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Languages: English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)

This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation.

Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx

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Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation.

Part of the requirements for: MCSA: SQL Server 2012/2014

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Our 70-463 exam dumps will include those topics:

• Build data quality solutions (15-20%)
• Load data (25-30%)
• Design and implement a data warehouse (10-15%)
• Configure and deploy SSIS solutions (20-25%)
• Extract and transform data (20-25%)

For more info visit: Microsoft Official 70-463 Exam Reference

70-463 - Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

The 70-463 exam is part of the Administering Data Warehouse Microsoft SQL Server 2012/2014 Databases certification. This exam measures your ability to accomplish the below tasks based on this technology: Microsoft Data Wherehouse SQL Server 2012 and 2014, and please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.

The exam is intended for DBA and Data Warehouse professionals who perform installation, maintenance, and configuration tasks. During the exam the students must show abilities when setting up database systems, tuning the db, and regularly storing, backing up, and granting data access protecting them from unauthorized access. This is a list of covered topics:

• Implement a data load script procedure using a control flow
• Troubleshoot data integration issues using SSIS
• Deploy con configure SSIS solutions
• Implement master data management solutions
• Design and implement a data flow for data transformation
• Troubleshoot data integration issues
• Manage and Implement SSIS package
• Design and implement Data Wherehouse dimensions and fact tables