Course M20463 Implementing a Data Warehouse with Microsoft SQL Server 2014
Attention! Course is canceled.
- Describe data warehouse concepts and architecture considerations.
- Select an appropriate hardware platform for a data warehouse.
- Design and implement a data warehouse.
- Implement Data Flow in an SSIS Package.
- Implement Control Flow in an SSIS Package.
- Debug and Troubleshoot SSIS packages.
- Implement an ETL solution that supports incremental data extraction.
- Implement an ETL solution that supports incremental data loading.
- Implement data cleansing by using Microsoft Data Quality Services.
- Implement Master Data Services to enforce data integrity.
- Extend SSIS with custom scripts and components.
- Deploy and Configure SSIS packages.
- Describe how BI solutions can consume data from the data warehouse.
After completing this course, students will be able to:
This course covers implementation of a data warehouse platform to support a BI solution. Topics covered include creating a data warehouse with Microsoft SQL Server 2014, implementing extraction, transformation, and load (ETL) packages with SQL Server Integration Services, and validating and cleansing data with SQL Server Data Quality Services and SQL Server Master Data Services.
Audience Profile
Database Administrators who need to create and support a data warehousing solution.
Before attending this course, students must have:
- At least 2 years of experience working with relational databases, including:
- Designing a normalized database.
- Creating tables and relationships.
- Querying with Transact-SQL.
- Some exposure to basic programming constructs (such as looping and branching).
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
Module 1: Introduction to Data Warehousing
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Module 2: Planning Data Warehouse Infrastructure
- Considerations for Data Warehouse Infrastructure
- Planning Data Warehouse Hardware
Module 3: Designing and Implementing a Data Warehouse
- Data Warehouse Design Overview
- Designing Dimension Tables
- Designing Fact Tables
- Physical Design for a Data Warehouse
Module 4: Creating an ETL Solution with SSIS
- Introduction to ETL with SSIS
- Exploring Data Sources
- Implementing Data Flow
Module 5: Implementing Control Flow in an SSIS Package
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers
- Managing Consistency
Module 6: Debugging and Troubleshooting SSIS Packages
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in an SSIS Package
Module 7: Implementing a Data Extraction Solution
- Planning Data Extraction
- Extracting Modified Data
Module 8: Loading Data into a Data Warehouse
- Planning Data Loads
- Using SSIS for Incremental Loads
- Using Transact-SQL Loading Techniques
Module 9: Enforcing Data Quality
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Cleanse Data
Module 10: Master Data Services
- Introduction to Master Data Services
- Implementing a Master Data Services Model
- Managing Master Data
- Creating a Master Data Hub
Module 11: Extending SQL Server Integration Services
- Using Scripts in SSIS
- Using Custom Components in SSIS
Module 12: Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Module 13: Consuming Data in a Data Warehouse
- Introduction to Business Intelligence
- Enterprise Business Intelligence
- Self-Service BI and Big Data
Labs
- Exploring a Data Warehousing Solution
- Planning Data Warehouse Infrastructure
- Implementing a Data Warehouse
- Implementing Data Flow in an SSIS Package
- Implementing Control Flow in an SSIS Package
- Using Transactions and Checkpoints
- Debugging and Troubleshooting an SSIS Package
- Extracting Modified Data
- Loading a Data Warehouse
- Cleansing Data
- Implementing Master Data Services
- Using Custom Scripts
- Deploying and Configuring SSIS Packages
- Using a Data Warehouse
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