Informatica BDM

Index:

• Introduction to Informatica BDM:

• Overview of Informatica BDM architecture, components, features, and benefits. Understanding the integration of Informatica BDM with big data platforms.

• Installation and Configuration:

• Installing and configuring Informatica BDM. Setting up Informatica services, nodes, clusters, and connectivity to big data ecosystems such as Hadoop and Spark.

• Data Integration and Processing:

• Designing and implementing data integration workflows in Informatica BDM. Developing mappings, transformations, and workflows for data ingestion, processing, and integration.

• Big Data Connectivity:

• Connecting Informatica BDM with various big data sources and targets. Configuring connectors for Hadoop Distributed File System (HDFS), Hive, HBase, and other big data platforms.

• Performance Tuning and Optimization:

• Optimizing data integration performance in Informatica BDM. Monitoring job execution, identifying bottlenecks, and tuning workflows for improved efficiency.

• Data Quality and Governance:

• Implementing data quality rules, profiling, and cleansing in Informatica BDM. Ensuring data governance and compliance with regulatory standards.

• Security and Access Control:

• Implementing security measures in Informatica BDM environments. Managing user access, roles, privileges, and securing sensitive data.

• Error Handling and Recovery:

• Configuring error handling mechanisms and recovery strategies in Informatica BDM. Implementing fault tolerance and job restartability.

• Monitoring and Reporting:

• Monitoring Informatica BDM jobs and workflows using built-in monitoring tools and dashboards. Generating reports and performance metrics for data integration processes.