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SAS DI Online Training

SAS DI Online Training

SAS Data Integration (DI) is a powerful data warehousing tool that enables you to easily retrieve, transform, and load data from multiple sources. The SAS DI training at Learn SAS Online Institute will teach you how to use the SAS DI Studio interface to create and manage data integration jobs. You will also learn how to troubleshoot common data integration issues. After completing this training, you will be able to confidently use SAS DI to build robust data warehouses.

Welcome to the world of SAS DI Online Training! Are you looking for an institute that provides comprehensive and top-notch training in SAS Data Integration? Look no further than Learn SAS Online Institute in Hyderabad! With our expert trainers, interactive sessions, and flexible schedules, we offer a dynamic learning experience that will help you master the ins and outs of SAS DI. Whether you’re a beginner or an experienced professional seeking to enhance your skills, our online training program is tailored to meet your specific needs. So why wait? Join us today and take the first step towards becoming a certified SAS professional!

Why to do this course?

There are several reasons why you may consider undertaking SAS DI (SAS Data Integration) online training.

Here are a few benefits:

  • Enhanced Data Integration Skills
  • Career Advancement
  • Efficient Data Management
  • Automation and Productivity
  • Certification
  • Flexibility and Convenience

What are the prerequisites for this course?

In order to take this course, you should have a basic understanding of SAS programming. If you are not familiar with SAS programming, we recommend that you take our Introduction to SAS Programming course first. This course is also available online.

Benefits of SAS DI Training at Learn SAS Online

Learn SAS Online Institute in Hyderabad offers the best SAS DI training that covers all the features of this tool.


  • Access to expert trainers who have years of experience in using this tool
  • Detailed course material that covers all aspects of the tool
  • Hands-on training that allows you to practice what you have learned
  • Affordable fees that make the training accessible to everyone

After completing the training, you will be able to use SAS Data Integration Studio to effectively extract, transform and load data from multiple sources. You will also be able to manage data quality and create reports using the tool.

Career Opportunities after Completing the Course

SAS DI is one of the most popular tools used by data analysts and scientists. It is a powerful tool that allows you to manipulate and analyze data. After completing the SAS DI Online Training course at Learn SAS Online Institute in Hyderabad, you will be able to find employment in a variety of industries that require data analysis.

Some career options that will be available to you after completing the course include:

  1. Data analyst: A data analyst uses SAS DI to examine data and look for trends and patterns. They may work in fields such as marketing, finance, or healthcare.
  2. Data scientist: A data scientist also uses SAS DI to analyze data, but they focus on using the data to solve real-world problems. Data scientists may work in industries such as government, academia, or tech.
  3. Statistician: A statistician uses SAS DI to develop statistical models. These models can be used to make predictions about future events or help decision-makers understand complex issues. Statisticians may work in fields such as market research, insurance, or manufacturing.

This course will give the candidate ability to apply the skills and knowledge necessary for Data Integration Development in the SAS environment. .


Duration: 25-30 hours

Course Content

  • Define the architecture of the platform for SAS Business Analytics.
  • Describe the available interfaces.
  • Define the change management feature of SAS Data Integration Studio.
  • Discuss the DataFlux Integration Server.
  • Define administrative tasks to be performed for SAS Data Integration Studio.
  • Describe the New Library Wizard.
  • Use Register Tables wizard to register source data.
  • Use Register Tables wizard to register metadata for a Microsoft Access database table using ODBC.
  • Register metadata for a comma-delimited external file.
  • Import and Export Metadata.
  • Describe features of the New Tables wizard.
  • Discuss SAS packages.
  • Discuss importing and exporting of relational metadata.
  • Discuss components of SQL Join’s Designer window.
  • Investigate mapping and propagation.
  • Work with performance statistics.
  • Generate reports on metadata for tables and jobs.
  • Discuss and use the Extract and Summary Statistics transformation.
  • Discuss and use the Loop transformations.
  • Investigate where status handling is available.
  • Discuss and use the Data Validation transformation.
  • Discuss and use the Rank, Transpose, Append, List and Sort transformations.
  • Discuss and use the Apply Lookup Standardization transformation.
  • Define the Concept of a Checkpoint.
  • Discuss reasons to use the Table Loader transformation.
  • Discuss various load styles provided by the Table Loader transformation.
  • Discuss various types of keys and how to define in SAS Data Integration Studio.
  • Discuss indexes and how to define in SAS Data Integration Studio.
  • Discuss Table Loader options for keys and indexes.
  • List the functions of the SCD Type 2 transformation.
  • Define business keys.
  • Define surrogate and retained keys.
  • Detect and track changes.
  • Discuss the Lookup transformation.
  • Define SAS code transformation templates.
  • Create a custom transformation
  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs.
  • Provide an overview of the scheduling process.
  • Discuss the types of scheduling servers.
  • Discuss the Schedule Manager in SAS Management Console.
  • Discuss batch servers.
  • List the applications that can be used to create and execute stored processes.
  • Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.
  • Import SAS code.