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.