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• Introduction to Integration Services
  • Defining SQL Server Integration Services (SSIS)
  • Exploring the need for migrating diverse data
  • The role of Business Intelligence (BI)
• SSIS Architecture and Tools

Managing heterogeneous data

• • Leveraging the Extract, Transform and Load (ETL) capabilities of SSIS
  • Running wizards for basic migrations
  • Creating packages for complex tasks
  • Explore other supported data sources, such as Hadoop and NoSQL

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 restartability with checkpoint files

Simplifying deployments

• • Distinguishing between project and package deployment modes
  • Deploying packages to the SSISDB
  • Running packages from SQL Server
  • Leveraging package parameters
• 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 task
  • Communicating with external sources
  • Sending messages through mail

Processing XML

• • Iterating XML nodes
  • Writing XML files from databases
• 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
• 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
• 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