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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.
Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
Skills measured
- Design, implement, and maintain a data warehouse (35-40%)
- Build data quality solutions (15-20%)
- Extract, transform, and load data (40-45%)
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Microsoft 70-767 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Designing Data Warehouse Solutions | - Design data distribution strategy in SQL Server / Azure SQL DW - Design data storage and partitioning strategy - Design data warehouse schema (star/snowflake) |
| Topic 2: Building and Implementing a Data Warehouse | - Create and configure tables and indexes - Load and transform data from multiple sources - Implement ETL processes using SSIS |
| Topic 3: Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data cleansing and transformation logic - Implement data flow tasks in SSIS |
| Topic 4: Securing and Maintaining Data Warehouse Solutions | - Manage encryption and data protection - Maintain backup and recovery strategies - Implement authentication and authorization |
| Topic 5: Optimizing and Troubleshooting Data Warehouse | - Optimize query performance (indexes, distribution, partitioning) - Monitor and troubleshoot ETL processes - Manage workload performance in SQL data warehouse |
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