Microsoft 70-463: Implementing A Data Warehouse With SQL Server 2012
Hudson
Summary
- Exam(s) / assessment(s) not included in price, and must be purchased separately
Overview
This course is specifically for participants to measure their knowledge and skills on making the appropriate job role decisions around implementing a Data Warehouse with Microsoft SQL Server 2012.
This course is designed for ETL and Data Warehouse Developers who most likely focus on hands-on work creating business intelligence (BI) solutions, including data cleansing, Extract Transform Load (ETL), and Data Warehouse implementation.
Primary responsibilities may include:
- Mastering data using Master Data Services
- Cleansing data using Data Quality Services
- ETL Package development for data loading/transfer/transformation
- Data Synchronization
- One-time data or application migration
- Ad-hoc data manipulations, transformations
- Scheduling ETL jobs
- Managing, configuring and deploying SQL Server Integration Services (SSIS) packages
- This training course on implementing a Data Warehouse with Microsoft SQL Server 2012 prepares participants for the Microsoft Exam 70-463.
This course will provide all the skills and knowledge for the following areas:
- Designing and implementing dimensions
- Designing and implementing fact tables
- Defining connection managers
- Designing and implementing data flow
- Managing SSIS package execution
- Implementing script tasks in SSIS
- Designing and implementing control flow
- Implementing package logic using SSIS variables and parameters
- Implementing data load options
- Implementing script components in SSIS
- Troubleshooting data integration issues
- Installing and maintaining SSIS components
- Implementing auditing, logging, and event handling
- Deploying SSIS solutions
- Configuring SSIS security settings
- Installing and maintaining Data Quality Services
- Implementing master data management solutions
- Creating a data quality project to clean data
Certification
MTA: Microsoft Technology Associate
Course media
Resources
- View our brochure - download
Description
Syllabus:
Module 1
- Introduction to Data Warehousing
- OLTP vs. OLAP
- Data Warehouse
- Data Warehouse Architecture
- Creating a Data Warehouse
- Presenting OLAP Data
- OLTP and OLAP Comparison Demonstration
- Exam Scenarios
- Module Review
Module 2
- Designing a Data Warehouse
- Data Modeling
- Data Warehouse Schemas
- Time Dimensions
- Data Modeling Considerations
- Implementing a Data Model
- Logical Model
- Physical Model
- Dimensions and Facts
- Exam Scenarios
- Module Review
Module 3
- ETL with SSIS
- Introduction to SSIS
- Upgrading SSIS Packages
- SSIS Tools
- Data Flow Tasks
- Data Sources
- Transformations
- Utilizing SQL Server Data Tools
- Data Flow Task
- Exam Scenarios
- Module Review
Module 4
- SSIS Control Flow
- Control Flow Tasks
- Integration Services Variables
- Expressions
- Precedence
- Containers and Annotation
- Transactions
- Checkpoints
- Control Flow Tasks and Precedence
- Exam Scenarios
- Module Review
Module 5
- Troubleshooting Packages
- Overview of Troubleshooting
- Debugging
- Breakpoints
- Error Handling
- SSIS Log Providers
- Custom Logging
- Troubleshooting and Logging
- Exam Scenarios
- Module Review
Module 6
- Advanced Packages
- Maintaining a Data Warehouse
- Change Data Capture
- Slowly Changing Dimensions
- Script Components
- Incremental Updates
- Exam Scenarios
- Module Review
Module 7
- Data Quality Services
- Introduction to Data Quality Services
- Data Quality Services Components
- Working with Data Quality Services
- Exam Scenarios
- Module Review
Module 8
- Master Data Services
- Introduction to Master Data Services
- MDS vs. DQS
- How MDS Works
- Exam Scenarios
- Module Review
Module 9
- Deployment and Security
- Deployment Options
- Package Deployment
- Securing Packages
- Deploying SSIS Packages and Projects
- Exam Scenarios
- Module Review
- Program Review
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