SQL Server Integration Services (SSIS) Training for Business Intelligence

Course 134

  • Duration: 4 days
  • Labs: Yes
  • Language: English
  • 23 NASBA CPE Credits (live, in-class training only)
  • Level: Intermediate

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 Delivery Methods

    • In-Person

    • Online

    SQL Server Integration Services Training Course Information

    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

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

    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 

    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 

    Writing expressions

    • Making properties dynamic with variables
    • Utilizing 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 

    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) 

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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 database 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 organizations to securely manage data migration among a myriad of platforms to enhance their business intelligence capabilities. In this course, attendees learn to use 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 (Database Management System) environments such as Oracle, Access, and SQL Server will benefit from this course. 

    Most tasks in this course can be carried out without 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 analyze data with Analysis Services, and reports can be built using Reporting Services. 

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