In this SQL server integration services course, you gain the skills to improve business intelligence capabilities by automating complex migration tasks and auditing the success or failure of migration processes. In addition, you will learn to transform data among heterogeneous data sources — such as text files, Oracle, Access, XML (Extensible Markup Language), ODBC (Open Database Connectivity), and OLE DB (Object Linking and Embedding Database) — and effectively and securely manage data migration across various platforms. In this SSIS training course, you’ll gain the skills to migrate and transform data with SSIS. You learn to solve data management problems by creating dynamic packages for migrating, processing, and reporting on data for business intelligence. Specifically, you learn to deploy packages to an SSIS server, assemble tasks to perform complex data migrations, and enhance package functionality with scripting. SQL Server Integration Services (SSIS) Training for Business Intelligence Benefits In this SSIS Training for Business Intelligence course, you will learn how to: Solve data management problems by migrating and processing data. Perform nonstandard imports and exports using the Script component. Assemble tasks to perform complex data migrations. ETL (Extract, Transform and Load) data. Incrementally migrate data from SQL (Structured Query Language) Server data sources using CDC (Change Data Capture). Deploy packages to an SSIS catalog. SQL Server Integration Services Prerequisites You should have familiarity with relational database management systems, programming concepts, and SQL language. SSIS Training Course Outline Module 1: Introduction to Integration Services Defining SQL SSIS (Server Integration Services) Exploring the need for migrating diverse data The role of BI (Business Intelligence) Module 2: SSIS Architecture and Tools Managing heterogeneous data ETL (Leveraging the Extract, Transform and Load) capabilities of SSIS Running wizards for basic migrations Creating packages for complex tasks Explore other supported data sources, such as Hadoop and NoSQL (not only SQL) Illustrating SSIS architecture Distinguishing between data flow pipeline and package runtime Executing packages on the client side or hosted in the SSIS service Bulletproofing a package with package environments Package restorability with checkpoint files Simplifying deployments Distinguishing between project and package deployment modes Deploying packages to the SSISDB (SSIS Catalog Database) Running packages from SQL Server Leveraging package parameters Module 3: Implementing Tasks and Containers Utilizing basic SSIS objects Configuring connection managers Adding data flow tasks to packages Reviewing progress with data viewers Assembling tasks to perform complex data migrations Migrating multiple files with FOREACH container Operating system-level tasks Copying, moving, and deleting files Transferring files with the FTP (File Transfer Protocol) task Communicating with external sources Sending messages through mail Processing XML Iterating XML nodes Writing XML files from databases Module 4: Extending Capabilities with Scripting Writing expressions Making properties dynamic with variables Utilizing expressions in loop iterations Script Task Extending functionality with the Script Task Debugging, breakpoints, and watches Module 5: Transforming with the Data Flow Task Performing transforms on columns Converting and calculating columns Transforming with Character Map Profiling, combining, and splitting data Merge, Union, and Conditional Split Multicasting and converting data Manipulating row sets and BLOB data Aggregate, sort, audit, and look up data Importing and exporting BLOB data Redirecting error rows Performing database operations Executing a SQL task Bulk inserting data from text files Module 6: Error Handling, Logging and Transactions Organizing package workflow Defining success, failure, completion, and expression precedence constraints Handling events and event bubbling Designing robust packages Choosing log providers Adapting solutions with package configurations Auditing package execution results Accessing package data with ADO.NET (ActiveX Data Object)
