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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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70-767 Exam topics
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- Design, implement and maintain a data warehouse 35-40%
- Build data quality solutions 15-20%
- Extract, transform and load data 40-45%
Reference: https://www.microsoft.com/en-us/learning/exam-70-767.aspx
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Microsoft 070-767 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data flow tasks in SSIS - Implement data cleansing and transformation logic |
| Topic 2: Securing and Maintaining Data Warehouse Solutions | - Manage encryption and data protection - Implement authentication and authorization - Maintain backup and recovery strategies |
| Topic 3: Building and Implementing a Data Warehouse | - Implement ETL processes using SSIS - Create and configure tables and indexes - Load and transform data from multiple sources |
| Topic 4: Optimizing and Troubleshooting Data Warehouse | - Manage workload performance in SQL data warehouse - Optimize query performance (indexes, distribution, partitioning) - Monitor and troubleshoot ETL processes |
| Topic 5: 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 |
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