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SQL Server Integration Services för Business Intelligence

In this SSIS training course, you gain the skills to improve business intelligence capabilities by automating complex migration tasks and auditing the success or failure of migration processes. You will learn to transform data amongst heterogeneous data sources — such as text files, Oracle, Access, XML, ODBC and OLE DB — and effectively and securely managing data migration across various platforms.

Kursmål

  • 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
  • Extract, Transform, and Load (ETL) data
  • Incrementally migrate data from SQL Server data sources using Change Data Capture (CDC)
  • Deploy packages to an SSIS catalogue

Målgrupp

SQL Server developers, administrators and analysts who need to migrate and transform data amongst diverse platforms.

Förkunskaper

Familiarity with relational database management systems, programming concepts, and SQL language

Kursinnehåll

In this SSIS training course, you’ll gain the skills to migrate and transform data with SQL Server Integration Services. 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.

  • 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

    Utilising 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
    • Utilising 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

    Organising 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