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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
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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
Skills measured
- Design, implement, and maintain a data warehouse (35-40%)
- Extract, transform, and load data (40-45%)
- Build data quality solutions (15-20%)
Microsoft 070-767 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Optimizing and Troubleshooting Data Warehouse | - Monitor and troubleshoot ETL processes - Optimize query performance (indexes, distribution, partitioning) - Manage workload performance in SQL data warehouse |
| Topic 2: Designing Data Warehouse Solutions | - Design data storage and partitioning strategy - Design data warehouse schema (star/snowflake) - Design data distribution strategy in SQL Server / Azure SQL DW |
| Topic 3: Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data flow tasks in SSIS - Implement data cleansing and transformation logic |
| Topic 4: Securing and Maintaining Data Warehouse Solutions | - Manage encryption and data protection - Maintain backup and recovery strategies - Implement authentication and authorization |
| Topic 5: Building and Implementing a Data Warehouse | - Implement ETL processes using SSIS - Create and configure tables and indexes - Load and transform data from multiple sources |
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