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SQL Server Integration Services for Business Intelligence

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.

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 analysed with Analysis Services and reports can be built using Reporting Services.

In this SSIS training course, you gain the skills to improve business intelligence capabilities by automating complex migration tasks, auditing the success or failure of migration processes, transforming 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.

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.

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

Target Audience

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

Who will benefit from this course?

It is essential for organisations to securely manage data migration amongst 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 amongst 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.

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.

Reset

Learning Objectives

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 catalogue

Pre-Requisites

Recommended Experience

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

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.

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.

Course Content

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

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Online Courses

You may prefer an online course if you are looking for a flexible and cost-effective solution. Online courses allow you to study at your own pace, at a time that suits you.

We have the following eLearning options available:

Virtual Classroom

Virtual classrooms provide all the benefits of attending a classroom course without the need to arrange travel and accomodation. Please note that virtual courses are attended in real-time, commencing on a specified date.

Virtual Course Dates

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