Implementing a Data Warehouse with Microsoft SQL Server 2014 (20463) Training Course
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> Classroom and Virtual courses available
> Onsite and customised courses available
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This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.
Module 1: Introduction to Data Warehousing
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehousing Solution
Module 2: Data Warehouse Hardware Considerations
- Considerations for building a Data Warehouse
- Data Warehouse Reference Architectures and Appliances
Lab : Planning Data Warehouse Infrastructure
Module 3: Designing and Implementing a Data Warehouse
- Logical Design for a Data Warehouse
- Physical design for a data warehouse
Lab : Implementing a Data Warehouse Schema
Module 4: Creating an ETL Solution with SSIS
- Introduction to ETL with SSIS
- Exploring Data Sources
- Implementing Data Flow
Lab : Implementing Data Flow in an SSIS Package
Module 5: Implementing Control Flow in an SSIS Package
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers
- Managing Consistency
Lab : Implementing Control Flow in an SSIS PackageLab : Using Transactions and Checkpoints
Module 6: Debugging and Troubleshooting SSIS Packages
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in an SSIS Package
Lab : Debugging and Troubleshooting an SSIS Package
Module 7: Implementing an Incremental ETL Process
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading Modified data
Lab : Extracting Modified DataLab : Loading Incremental Changes
Module 8: Enforcing Data Quality
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Match data
Lab : Cleansing DataLab : De-duplicating data
Module 9: Using Master Data Services
- Master Data Services Concepts
- Implementing a Master Data Services Model
- Managing Master Data
- Creating a Master Data Hub
Lab : Implementing Master Data Services
Module 10: Extending SQL Server Integration Services
- Using Scripts in SSIS
- Using Custom Components in SSIS
Lab : Using Custom Components and Scripts
Module 11: Deploying and Configuring SSIS Packages
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Lab : Deploying and Configuring SSIS Packages
Module 12: Consuming Data in a Data Warehouse
- Introduction to Business Intelligence
- Introduction to Reporting
- An Introduction to Data Analysis
Lab : Using Business Intelligence Tools
This course prepares candidates to take the Microsoft official exam.
Please note the exams are not included in the course and must be booked separately through Pearson Vue.
This course includes:
- Training from a Microsoft Certified Trainer (MCT)
- Computer / Laptop to use for the duration of the course
- Microsoft official courseware
- Online labs (if available)
Course Key Points
Duration: 5 days
Exam(s): Not Included
Practice Exam(s): Not Included
Type: Available as Classroom, Virtual Live and In-house
Dates and Prices
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Learn new skills from our expert instructors, in your own time and at your own pace
Please note all published prices are exclusive of VAT for consumers who pay no VAT or can recover VAT. The current rate of VAT is 20% for consumers that are required to pay VAT. All public course bookings are subject to availability and minimum course numbers.
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All quoted prices are exclusive of VAT for consumers who pay no VAT or can recover VAT. The current rate of VAT is 20% for consumers that are required to pay VAT. All course bookings are subject to availability.