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SQL Server Integration Services (SSIS) Training for Business Intelligence

Course 134

  • Duration: 4 days
  • Labs: Yes
  • Language: English
  • Level: Intermediate

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. In addition, you will learn to transform data among heterogeneous data sources — such as text files, Oracle, Access, XML, ODBC, and OLE DB — and effectively and securely manage data migration across various platforms.

Additionally, 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.

    SQL Server Integration Services (SSIS) Training for Business Intelligence Delivery Methods

    • In-Person

    • Online

    SQL Server Integration Services (SSIS) Training for Business Intelligence Course 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.
    • Extract, Transform, and Load (ETL) data.
    • Incrementally migrate data from SQL Server data sources using Change Data Capture (CDC).
    • Deploy packages to an SSIS catalog.

    SSIS Training for Business Intelligence Prerequisites

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

    SSIS Training Course Outline

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

    Managing heterogeneous data

    • Leveraging the Extract, Transform and Load (ETL) capabilities of SSIS
    • Running wisards 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

    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

    Writing expressions

    • Making properties dynamic with variables
    • Utilising expressions in loop iterations

    Script Task

    • Extending functionality with the Script Task
    • Debugging, breakpoints, and watches

    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

    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
    Get This Course 32 130 kr For Team Prices Call: +46 (0)8 506 668 00
    • 4-day instructor-led training course
    • One-on-one after-course instructor coaching
    • After-course computing sandbox
    #134
    • Guaranteed to Run - you can rest assured that the class will not be cancelled.
      dec 3 - 6 15:00 - 22:30 CET
      Virtual
    • jan 28 - 31 9:00 - 16:30 CET
      Stockholm or Virtual
    • jan 28 - 31 10:00 - 17:30 CET
      London or Virtual
    • feb 4 - 7 16:00 - 23:30 CET
      Austin or Virtual
    • mar 11 - 14 14:00 - 21:30 CET
      Herndon, VA or Virtual
    • apr 22 - 25 10:00 - 17:30 CEST
      London or Virtual
    • apr 22 - 25 9:00 - 16:30 CEST
      Stockholm or Virtual
    • maj 6 - 9 15:00 - 22:30 CEST
      New York or Virtual
    • jun 24 - 27 15:00 - 22:30 CEST
      Ottawa or Virtual
    • jul 1 - 4 10:00 - 17:30 CEST
      London or Virtual
    • jul 1 - 4 9:00 - 16:30 CEST
      Stockholm or Virtual
    • jul 8 - 11 16:00 - 23:30 CEST
      Austin or Virtual
    • jul 29 - aug 1 15:00 - 22:30 CEST
      Herndon, VA or Virtual
    • sep 2 - 5 15:00 - 22:30 CEST
      New York or Virtual
    • sep 23 - 26 15:00 - 22:30 CEST
      Ottawa or Virtual
    • okt 27 - 30 10:00 - 17:30 CET
      London or Virtual
    • okt 27 - 30 9:00 - 16:30 CET
      Stockholm or Virtual

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    • Bring this or any training to your organisation

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    • Delivered when, where, and how you want it
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    • Tailored content
    • Expert team coaching
    #134
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    SSIS Training for Business Intelligence Course FAQs

    This is an intermediate-level SQL training course. We recommend some knowledge of relational databases management systems, programming concepts, and SQL language prior to taking this course.

    Microsoft Integration Services is a platform for building enterprise-level data integration and data-transformation solutions. You use Integration Services to solve complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data. The packages can work alone or in concert with other packages to address complex business needs. Integration Services can extract and transform data from various sources, such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.

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

    It is essential for organisations to securely manage data migration among a myriad of platforms to enhance their business intelligence capabilities. In this course, attendees learn to leverage SQL Server Integration Services to extract, transform, load, and integrate data from various sources. Typical participants include database developers and analysts who need to migrate data among diverse platforms. In addition, database administrators who need to manage Integration Services packages stored on SQL Server and database professionals working in mixed DBMS environments such as Oracle, Access, and SQL Server will benefit from this course.

    Most tasks in this course can be accomplished with no programming. However, you will learn to use programming to extend the capabilities of SSIS even if you have never programmed before. The course will give all the necessary information to complete the exercises.

    SSIS is one of the components of Microsoft's Business Intelligence platform. The other two consist of Reporting Services and Analysis Services. SSIS allows you to migrate data for decision support purposes. Once migrated, you can analyse data with Analysis Services, and reports can be built using Reporting Services.

    You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

    • This course uses Microsoft SQL Server 2016, running on Windows Server 2016
    • This course applies to those using earlier versions of SQL Server