Course Overview During this 4-day instructor led training, you will learn the ins and outs of SSIS and how to apply its enterprise functionality to data warehouse ETL systems. At the completion this course, you will understand how to design, develop, deploy, and operate SSIS solutions from source systems extractions, to data integration and transformation, to business intelligence system loading including how to processing SQL Server Analysis Services (SSAS) cubes. This course will demonstrate a fully working ETL solution, including extensive demos, sample projects that will not only teach how to use the new technology, but also illustrate business intelligence ETL and data warehouse best practices. We're constantly adding new Microsoft training courses, if you don't see one that suits at present, contact us and we'll source or create one that does. Related Courses Audience The target audience for this course is database warehouse or business intelligence solution architects, IT professionals, and business intelligence developers who want to learn the details of how to use the capabilities of SSIS to build ETL solutions. Skills Gained Delegates will learn how to - Understand SSIS Features and Functionality: The initial seminar modules will dive deep into the core feature set of SSIS to lay the foundation for leveraging the tool for data processing requirements.
- Understandand Apply ETL Concepts in SSIS: Building on the SSIS knowledge, the focus will turn to understanding relational data warehousing principles? applying efficient SSIS processing techniques for dimensions and fact table ETL. Additionally, the seminar will consider processing architectures for loading SSAS dimension and cubes.
- Deployand Administer SSIS in Production: The final modules cover getting ETL solutions over the goal line and maintaining sanity once there?focusing on deployment and ongoing administration.
Prerequisites This course is targeted at database professionals and developers with some experience in business intelligence solutions and SQL Server. This workshop requires no prior experience with SQL Server DTS or SSIS Course Outline Section A: SSIS Overview and Core Features Module 01: SSIS Features and Concepts Overview - The role of ETL in Business Intelligence, SQL Server 2008 tools, SSIS ETL features, ETL Architecture, Visual Studio Design Environment, Creating Solutions and Projects Working with SSIS Projects, Properties Windows and viewers, Data Sources, Data Source Views, Connections
- LAB 1: Creating an SSIS Project and Packages
Module 02: Applying Control Flow Containers, Tasks and Constraints - Management Tasks, Standard Tasks, Execute SQL Task and parameters, Script Task, Sequence Container, Looping Containers, Standard and Expression based Constraints
- LAB 2: Workflow management in the Control Flow
Module 03: Applying Data Flow Transformations and Adapters - Data Flow source and destination adapters, Data expressions and conversion transformations, Data association and correlation transformations (IE: Lookup, Merge), Filtering, Data Paths and Data Viewers
- LAB 3: Working with Data in the Data Flow
Section B: Data Warehousing ETL Processing in SSIS Module 04.1-Extr: Data Extraction Strategies - Heterogeneous sources, Data quality, Full and incremental source extraction, Using Data Source Views effectively, Dynamic source queries, Flat file sources, Source lineage tracking
- LAB 4.1-Extr - Putting It Together, Control Flow, Data Flow and Data Extraction
Module 04.2-Trnsf: Advanced Data Preparation and Transformations - Data profiling, data cleansing (Fuzzy transformations), Script Component Sources and Transformations
- LAB 4.2-Trnsf - Data transformations and preparing
Module 04.3-Dim: Dimension Table ETL - Slowly Changing Dimension types and theory, Using the SCD wizard, Drilling into the SCD transformations, Customizing the SCD, Alternate SCD approaches, Inferred Members, Handling Snowflake and Parent-Child Hierarchies
- LAB 04.3-Dim: Building Dimension table ETL
Module 04.4-Fact: Fact Table ETL - Fact types and theory, Aspects of the fact table processing, Dimension lookups with the Lookup transformation, Missing Dimension Members, Measures and Calculations, Handling fact inserts and updates, Changing data grain, Processing Analysis Services Measure Group Partitions
- LAB 04.4-Fact: Building Fact Table ETL
Module 04.5-SSAS: Analysis Services Processing - Analysis Services processing types, Analysis Services Processing Task and Execute DDL Task, Dynamically creating and processing partitions, ASCMD command line and AMO API usage
- LAB 04.5-SSAS: Creating Analysis Services Processing Tasks
Section C: Advanced SSIS Functionality Module 05.1-Conf: Applying Dynamic Configurations and Built-in logging - Planning your configuration environment, SSIS Configuration types, dynamic Property Expressions, SSIS Logging, Extending SSIS auditing with Event Handlers
- LAB 05.1-Conf: ETL auditing and SSIS configurations
Module 05.2-Tran: Understanding SSIS Transaction Management and Restartability - Built-in checkpoints, How and when to use checkpoints, Managing RDBMS transactions, Rollback considerations, Integrating Checkpoints with Transactions
Module 06: Coordinating Team Development and Deployment - Modular package design, Team development environment, Deploying Packages, SSIS Deployment Wizard
- LAB 06: Creating Parent Package to coordinate execution
Module 07: Package Administration, Security and Execution - Package Execution Options, DTExec command line execution, SSIS Management features, SQL Server storage and security roles, Package encryption
- LAB 07: Securing and Executing Packages
Module 08: Troubleshooting and Optimizing Packages - Identifying package bottlenecks, Understanding the SSIS data flow architecture, Data Flow transformation types, Execution Trees, Engine Threads, Monitoring Data Flow execution with pipeline logging, Debugging Task with Breakpoints, SSIS Performance Monitor counters and tracking
- LAB 08: Troubleshooting package errors
Section D: ETL Case Study and SSIS Frameworks Module 09: ETL Case Study and Package Frameworks - Case study examples: package design and performance, Integration with SQL Server 2008, using Merge and Change Data Capture features, Partition Table management, Creating an SSIS Framework for Auditing Troubleshooting, and Reporting
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