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Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
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Exam 70-767: Implementing a Data Warehouse using SQL
This exam is intended for extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.
Part of the requirements for: MCSA: SQL 2016 BI Development MCSE: Data Management and Analytics
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Microsoft 070-767 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Building and Implementing a Data Warehouse | - Create and configure tables and indexes - Load and transform data from multiple sources - Implement ETL processes using SSIS |
| Designing Data Warehouse Solutions | - Design data warehouse schema (star/snowflake) - Design data storage and partitioning strategy - Design data distribution strategy in SQL Server / Azure SQL DW |
| Securing and Maintaining Data Warehouse Solutions | - Maintain backup and recovery strategies - Manage encryption and data protection - Implement authentication and authorization |
| Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data cleansing and transformation logic - Implement data flow tasks in SSIS |
| Optimizing and Troubleshooting Data Warehouse | - Monitor and troubleshoot ETL processes - Manage workload performance in SQL data warehouse - Optimize query performance (indexes, distribution, partitioning) |
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