Our 70-463 exam dumps will include those topics:
- Build data quality solutions (15-20%)
- Design and implement a data warehouse (10-15%)
- Load data (25-30%)
- Extract and transform data (20-25%)
- Configure and deploy SSIS solutions (20-25%)
For more info visit: Microsoft Official 70-463 Exam Reference
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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 master data management solutions
- Troubleshoot data integration issues using SSIS
- Design and implement a data flow for data transformation
- Manage and Implement SSIS package
- Troubleshoot data integration issues
- Design and implement Data Wherehouse dimensions and fact tables
- Implement a data load script procedure using a control flow
- Deploy con configure SSIS solutions
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Languages: English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)
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.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
Microsoft 70-463日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Extract, transform, and load data | - Implement data cleansing and data flow transformations - Develop ETL solutions using SSIS - Manage incremental data loads |
| Topic 2: Build data warehouse infrastructure | - Configure SQL Server Integration Services (SSIS) - Implement SQL Server Agent jobs |
| Topic 3: Build and deploy multidimensional models | - Implement OLAP storage and processing - Design and implement cubes using SSAS - Define measures, dimensions, and hierarchies |
| Topic 4: Optimize and maintain a data warehouse | - Monitor and troubleshoot ETL processes - Performance tuning and query optimization - Implement security and access control |
| Topic 5: Design and implement data warehouse | - Design fact and dimension tables - Implement indexing and partitioning strategies - Design logical and physical data warehouse schema |

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