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Informatica with Big Data (BDM) Course Overview

Informatica with Big Data (BDM) Course Overview

The Informatica with Big Data Management (BDM) course offers a comprehensive training program designed to equip learners with the skills to harness the power of Big Data using Informatica's suite of tools. This course covers the essentials of Big Data integration, focusing on the Informatica Developer tool, and providing a solid foundation in Big Data basics and the BDM architecture. Learners will gain hands-on experience in developing physical data objects, mapping, and transformations, as well as understanding dynamic mapping and leveraging parameters to manage workflows effectively.

Throughout the course, participants will learn to navigate the Developer interface, troubleshoot configurations, monitor activities, and review logs. Advanced modules guide students through the complexities of Big Data integration challenges, while offering strategies for performance tuning at various levels, including mapping, Data Integration Service (DIS), and Hadoop cluster optimization. By completing this course, learners will be prepared to create, deploy, monitor, and troubleshoot Informatica Big Data Management projects, making them valuable assets in the growing field of Big Data analytics.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 8 Hours)
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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that you can successfully undertake training in the Informatica with Big Data Management (BDM) course, the following are the minimum required prerequisites:


  • Basic understanding of data warehousing and ETL concepts.
  • Familiarity with database concepts, including SQL and relational databases.
  • Knowledge of big data concepts and Hadoop ecosystem components like HDFS, MapReduce, Hive, and HBase.
  • Basic experience with Linux or Unix-based systems for navigating and modifying files.
  • An analytical mindset with problem-solving skills.
  • Willingness to learn new technologies and adapt to evolving big data trends.

These prerequisites are designed to provide a foundation upon which the course content can build. They are not meant to be barriers but starting points to ensure a productive and engaging learning experience.


Target Audience for Informatica with Big Data (BDM)

The Informatica with Big Data (BDM) course is designed for IT professionals seeking to master data management in big data environments.


Target Audience for the Informatica with Big Data (BDM) Course:


  • Data Engineers
  • BI (Business Intelligence) Developers
  • ETL (Extract, Transform, Load) Developers
  • Data Architects
  • Solution Architects
  • Data Analysts
  • Informatica Developers
  • Big Data Specialists
  • Database Administrators (DBAs) with a focus on Data Warehousing
  • IT Professionals with a background in Data Integration
  • Software Engineers looking to expand into Big Data solutions
  • Data Scientists requiring knowledge of data management tools
  • Technical Project Managers overseeing data projects
  • IT Consultants specializing in data solutions


Learning Objectives - What you will Learn in this Informatica with Big Data (BDM)?

  1. Introduction: The Informatica with Big Data (BDM) course equips learners with the skills to leverage Informatica Developer tools for Big Data Management, ensuring proficiency in data integration and processing in Hadoop environments.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of Informatica Developer tools and Big Data Management concepts.
  • Learn the architecture and key differences between BDM 9.x and 10.x versions.
  • Gain knowledge of Big Data basics and how to navigate the Informatica Developer interface.
  • Develop and synchronize physical data objects using relational and flat file connections.
  • Acquire skills to create data views, troubleshoot configurations, and monitor data processing activities.
  • Master the development of mappings and transformations, including core transformation techniques.
  • Implement dynamic mapping concepts to develop and run dynamic mappings efficiently.
  • Comprehend the use of parameters within mappings, including parameter files and sets.
  • Design, configure, and manage workflows in Informatica to automate data processing tasks.
  • Deploy, monitor, and troubleshoot Informatica applications in a Big Data environment.
  • Tackle Hadoop Data Integration challenges and perform performance tuning at multiple levels: mapping, Data Integration Service (DIS), and Hadoop cluster.