SQL Server Integration Services (SSIS) Training for Business Intelligence
Level: Intermediate
RATING:
4.78/5 Based on 371 Reviews
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 among heterogeneous data sources — such as text files, Oracle, Access, XML, ODBC and OLE DB — and effectively and securely managing data migration across various platforms.
Key Features of this SSIS Training:
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
- After-course computing sandbox included
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
Certifications/Credits:
Choose the SSIS Training Solution That Best Fits Your Individual Needs or Organizational Goals
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 4-day instructor-led training course
- Earn 23 NASBA credits (live, in-class training only)
- One-on-one after-course instructor coaching
- After-course computing sandbox
- Tuition can be paid later by invoice -OR- at the time of checkout by credit card
TEAM TRAINING
Customized Solutions
- Bring this or any training to your organization
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
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In Class & Live, Online Training
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Nov 6 - 9 ( 4 Days)
9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Reserve Your Seat -
Dec 18 - 21 ( 4 Days)
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Jan 8 - 11 ( 4 Days)
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Mar 19 - 22 ( 4 Days)
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Apr 16 - 19 ( 4 Days)
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May 21 - 24 ( 4 Days)
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Jun 11 - 14 ( 4 Days)
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Jul 9 - 12 ( 4 Days)
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Aug 13 - 16 ( 4 Days)
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Sep 17 - 20 ( 4 Days)
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.SSIS Instructor-Led Important Course Information
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SSIS Training Course Description
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.
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Software
- This course uses Microsoft SQL Server 2016, running on Windows Server 2016
- This course is applicable to those using earlier versions of SQL Server
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Recommended Experience
Familiarity with relational database management systems, programming concepts, and SQL language
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Who Should Attend The SSIS Training Course
SQL Server developers, administrators and analysts who need to migrate and transform data among diverse platforms.
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After-Course Computing Sandbox
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.
SSIS Training Course Outline
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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)
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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
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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
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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
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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
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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
Customized Solutions
General SSIS Training FAQs
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Is this course an SSIS tutorial for beginners?
This is an intermediate-level SQL training course. We recommend ome knowlede of relational databases management systems, programming concepts, and SQL language prior to taking this course.
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What is the SSIS package?
Microsoft Integration Services is a platform for building enterprise-level data integration and data transformations 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 a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.
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Who will benefit from this course?
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 leverage SQL Server Integration Services to extract, transform, load and integrate data from a variety of sources. Typical participants include database developers and analysts who need to migrate data among diverse platforms. Database administrators who need to manage Integration Services packages stored on SQL Server and database professionals working in mixed environments of DBMSs such as Oracle, Access and SQL Server will benefit from this course.
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How much of this class is focused on scripting and/or programming?
Most tasks in this course can be accomplished with no programming. You will learn to use programming to extend the capabilities of SSIS even if you have never programmed before. All of the necessary information to complete the exercises will be given in the course.
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What is the role of SSIS in Business Intelligence?
SSIS is one of the components in 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, data can be analyzed with Analysis Services and reports can be built using Reporting Services.
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