Accelerated SQL Server 2012 Integration Services

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Jeremy Walters
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1 Accelerated SQL Server 2012 Integration Services 4 Days (BI-ISACL12-301-EN) Description This 4-day instructor led training focuses on developing and managing SSIS 2012 in the enterprise.

1 1 Accelerated SQL Server 2012 Integration Services 4 Days (BI-ISACL EN) Description This 4-day instructor led training focuses on developing and managing SSIS 2012 in the enterprise. In this course, you will understand how to design, develop, deploy, and operate SSIS solutions this involves ETL solutions (extraction, transformation, and loading) from source systems extractions, data integration, SSIS server administration and package execution. Target Audience This course is intended for database professionals that are responsible for ETL or DBA activities related to data processing, data architecture planning, or SSIS administration. The target audience for this session is IT professionals, DBAs and developers who want to learn the details of how to use SSIS to accomplish data integration, data warehouse loading, and how to administer SSIS through the development lifecycle to production. Prerequisites Before attending this course, it is recommended that students have the following skills: 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 SSIS. Course Objectives Upon completion of this course, the student will be able to: Create and develop new SSIS projects and packages Determine when to use project mode versus package mode Apply SSIS to file and data management Understand and Apply ETL Concepts in SSIS including dimensions and fact table ETL and loading SSAS dimension and cubes Administer SSIS for server deployment and production execution

2 2 Course Summary Outline Day 1 Section A: SSIS Overview and Core Features Module 01 SSIS Overview and Core Features How SSIS fits into the corporate data network and infrastructure Introduction to data integration, BI, and dimensional modeling SSIS features overview SQL Server 2012 tools Lab 01: SSIS Development Environment Introduction Module 02 - SSIS Control Flow Objects and Features Control flow and data flow principles Control flow features Containers SSIS expression language Tasks and constraints Lab 02: Workflow Management in the Control Flow Module 03 - Applying Data Flow Transformations and Adapters Data flow introduction and design environment Connecting the data flow to sources and destinations Transformations and paths Lab 03: Working with Data in the Data Flow Day 2 Section B: Applying SSIS to Common Operations Module 04 - Working With and Importing Files File-handling requirements and management Working with binary data Excel and 64-bit considerations Third-party custom components Lab 04: Importing and Processing FTP Sourced Files

3 3 Module 05 - Data Source Extraction and Destination Optimization Extraction optimization Incremental extraction and Change Data Capture Data loading optimization Lab 05: Incremental Extraction and ODBC Sources Module 06 - Data Quality and Cleansing Data profiling and cleansing basics Fuzzy operations o Fuzzy Lookup o Fuzzy Grouping Text mining Script component Data Quality Services Lab 06: Comparing the Fuzzy Lookup and DQS Cleansing Transformations Section C: Applying SSIS in BI and Data Warehouse Solutions Module 07 - Dimension ETL with SSIS Day 3 Fact table ETL theory o Fact loading concepts, columns, and mappings o Workflow, precedence, and staging Identifying dimension surrogate keys Data preparation for fact tables Advanced concepts Lab 07: Dimension Table ETL Module 08 - Fact ETL with SSIS 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 08: Fact Table ETL

4 4 Module 09 - Processing Tabular and Multidimensional SSAS Objects in SSIS SSAS tabular and multidimensional Processing methods in SSIS Dynamic processing and partition creation Lab 09: Analysis Services Processing Section D: Project Deployment Model Module 10 - Project Deployment Model: Configuration, Deployment & Security Project Deployment Model SSIS catalog features o Project and package connections o Project and package parameters o Project Deployment Wizard SSIS environments Security and encryption Lab 10: SSIS Catalog Configurations and Project Deployment Module 11 - Project Deployment Model: Execution and Reporting Project deployment model utilities Package execution with T-SQL and DTExec Server reporting and logging Lab 11: Executing Packages in the SSIS Catalog Day 4 Section E: Package Deployment Model Module 12 - Package Deployment Model: Configuration and Deployment Package deployment model Package configurations Deploying packages Lab 12: Working with Package Configurations

5 5 Module 13 - Package Deployment Model: Execution, Security & Logging Package deployment model utilities Package execution Package security and encryption Package logging Lab 13: Package Logging and Execution Section F: SSIS Solution and Performance Considerations Module 14 - Transactions and Restartability SSIS transactions SQL Server database snapshots Restartability with checkpoints Debugging with breakpoints Event Handlers Lab 14: Working with Transactions and Checkpoints Module 15 Optimization and Scalability SQL code versus SSIS pipeline Data flow engine internals General optimization techniques Performance root-cause analysis Lab 15: Identifying and Resolving SSIS Performance Issues Module 16 - Solution Approach and Team Development Modular and parent package design Team development considerations Lab 16: Creating a Parent Package

Implement a Data Warehouse with Microsoft SQL Server

Implement a Data Warehouse with Microsoft SQL Server 20463D; 5 days, Instructor-led Course Description This course describes how to implement a data warehouse platform to support a BI solution. Students