Radical Technologies
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Informatica BDM (Big Data Management) is a comprehensive data integration and management platform designed to enable organizations to work with and harness the power of big data. It facilitates the ingestion, processing, transformation, and integration of large volumes of diverse data from various sources, including traditional databases, cloud-based sources, and big data platforms.

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INFORMATICA BDM  Training in Pune/ Online

Duration of Training  : 32 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

Module 1: Introduction to Big Data and Informatica BDM

  • Overview of Big Data and its challenges.
  • Introduction to Informatica Big Data Management.
  • Key features and benefits of Informatica BDM.

Module 2: Informatica BDM Architecture

  • Understanding the architecture of Informatica BDM.
  • Components and services in Informatica BDM.
  • Integration with Hadoop and other big data platforms.

Module 3: Data Ingestion

  • Data ingestion techniques for big data.
  • Using Informatica BDM for data ingestion.
  • Real-time data ingestion and streaming.

Module 4: Data Integration and Transformation

  • Data integration with Informatica BDM.
  • Data profiling and quality.
  • Data cleansing and transformation techniques.

Module 5: Data Mapping and Workflows

  • Creating data mappings and transformations.
  • Building data integration workflows.
  • Scheduling and monitoring workflows.

Module 6: Data Integration with Hadoop

  • Integration with Hadoop ecosystem components (HDFS, Hive, HBase, etc.).
  • Reading and writing data from/to Hadoop.
  • Performance tuning for Hadoop integration.

Module 7: Data Masking and Security

  • Data masking and data security best practices.
  • Securing sensitive data in Informatica BDM.
  • Compliance and governance considerations.

Module 8: Advanced Topics

  • Advanced data integration techniques.
  • Handling complex data formats and structures.
  • Data partitioning and optimization.

Module 9: Performance Tuning and Optimization

  • Identifying and resolving performance bottlenecks.
  • Optimizing data integration and transformation processes.
  • Scalability considerations.

Module 10: Monitoring and Troubleshooting

  • Monitoring Informatica BDM jobs and workflows.
  • Troubleshooting common issues.
  • Log analysis and debugging.

Module 11: Real-world Use Cases and Best Practices

  • Case studies and real-world examples of using Informatica BDM.
  • Best practices for designing and implementing big data solutions.

Module 12: Project Work (if applicable)

  • Hands-on projects or exercises to apply knowledge.
  • Building and deploying data integration solutions.

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