Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012Oxford Applied Training
£ 499 - (591 €) £ 400 - (473 €)
- 7 horas de estudio
¿Qué aprendes en este curso?
Managing Data Flow
Lesson 1: Introduction to Data Warehouses
- Topic A: Overview of Data Warehouses
- Topic B: Examine Data Warehousing Concepts
- Topic C: Introduction to Data Analysis and Reporting Concepts
Lesson 2: Creating Dimensions and Changing Granularity of Dimensions
- Topic A: Create Dimensions
- Topic B: Change Granularity
Lesson 3: Creating Fact Tables and Columnstore Indexes
- Topic A: Create Fact Tables
- Topic B: Create Columnstore Indexes
- Lesson 4: Implementing Data Warehouses in SQL Server 2012
- Topic A: Overview of Data Warehouse Components
- Topic B: Install Integration Services
Lesson 5: Working with Integration Services
- Topic A: Create an SSIS Project
- Topic B: Add Packages to an SSIS Project
Lesson 6: Managing Control Flow
- Topic A: Deploy a Control Flow
- Topic B: Execute Packages from Different Control Flow
Lesson 7: Working with Dynamic Variables
- Topic A: Create Expressions with Variables
- Topic B: Create Package Templates
Lesson 8: Implementing Data Flow
- Topic A: Add Data Flow Components to a Data Flow Task
- Topic B: Perform Transformation Tasks
- Topic C: Track Changed Data
Lesson 9: Managing Data Flow
- Topic A: Add Script Tasks and Script Components to an SSIS Package
- Topic B: Profile OLTP Data
- Topic C: Cleanse Data Using DQS
Lesson 10: Managing SSIS Package Execution
- Topic A: Execute SSIS Packages on the Server
- Topic B: Configure the Package Execution Strategy
Lesson 11: Debugging and Troubleshooting Packages
- Topic A: Debug Package Execution Components
- Topic B: Troubleshoot Package Failures
Lesson 12: Deploying Packages
- Topic A: Deploy SSIS Packages
- Topic B: Examine MSI Packages
Lesson 13: Securing Packages and Databases
- Topic A: Secure Packages
- Topic B: Secure Databases
Lesson 14: Working with MDS and Windows Azure
- Topic A: Configure MDS
- Topic B: Work with MDS Databases
- Topic C: Work with Windows Azure
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