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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 70-767日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Transformation and Data Flow | - Manage slowly changing dimensions (SCD) - Implement data flow tasks in SSIS - Implement data cleansing and transformation logic |
| Building and Implementing a Data Warehouse | - Implement ETL processes using SSIS - Create and configure tables and indexes - Load and transform data from multiple sources |
| Designing Data Warehouse Solutions | - Design data storage and partitioning strategy - Design data distribution strategy in SQL Server / Azure SQL DW - Design data warehouse schema (star/snowflake) |
| Securing and Maintaining Data Warehouse Solutions | - Implement authentication and authorization - Maintain backup and recovery strategies - Manage encryption and data protection |
| Optimizing and Troubleshooting Data Warehouse | - Monitor and troubleshoot ETL processes - Optimize query performance (indexes, distribution, partitioning) - Manage workload performance in SQL data warehouse |
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