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Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012

Course summary
229 GBP
e-learning / Online / Distance

Course description

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


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
Course Delivery:    Online

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