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Skills measured
- Extract and transform data (20–25%)
- Configure and deploy SSIS solutions (20–25%)
- Build data quality solutions (15–20%)
- Design and implement a data warehouse (10–15%)
- Load data (25–30%)
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Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation.
Part of the requirements for: MCSA: SQL Server 2012/2014
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
70-463 - Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
The 70-463 exam is part of the Administering Data Warehouse Microsoft SQL Server 2012/2014 Databases certification. This exam measures your ability to accomplish the below tasks based on this technology: Microsoft Data Wherehouse SQL Server 2012 and 2014, and please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.
The exam is intended for DBA and Data Warehouse professionals who perform installation, maintenance, and configuration tasks. During the exam the students must show abilities when setting up database systems, tuning the db, and regularly storing, backing up, and granting data access protecting them from unauthorized access. This is a list of covered topics:
- Implement a data load script procedure using a control flow
- Troubleshoot data integration issues using SSIS
- Manage and Implement SSIS package
- Implement master data management solutions
- Troubleshoot data integration issues
- Deploy con configure SSIS solutions
- Design and implement a data flow for data transformation
- Design and implement Data Wherehouse dimensions and fact tables
Microsoft 070-463日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build data quality solutions | 15-20% | - Integrate DQS with SSIS - Clean and standardize data - Match and deduplicate data - Implement Data Quality Services (DQS) |
| Topic 2: Extract and transform data | 20-25% | - Handle data types and errors - Design and implement data flows - Apply transformations and aggregations - Implement lookups and fuzzy grouping |
| Topic 3: Configure and deploy SSIS solutions | 20-25% | - Implement logging and debugging - Configure SSIS packages and parameters - Deploy SSIS projects and packages - Secure and manage SSIS environments |
| Topic 4: Design and implement a data warehouse | 10-15% | - Design and implement indexes and partitions - Design for scalability and performance - Implement star and snowflake schemas - Design dimensions and fact tables |
| Topic 5: Load data | 25-30% | - Implement transactions and checkpoints - Use bulk load operations - Manage incremental loads - Design and implement control flow |
