Informatica IICS

Index:

• Introduction to Informatica IICS:

• Overview of Informatica Intelligent Cloud Services (IICS) and its architecture.
• Understanding cloud integration patterns and use cases for IICS.
• Comparison with on-premises Informatica PowerCenter and other integration platforms.

• IICS Core Components:

• Cloud Data Integration (CDI): Creating and managing data integration tasks.
• Cloud Application Integration (CAI): Integrating applications and services in the cloud.
• Cloud Data Quality (CDQ): Implementing data quality rules and processes in the cloud.

• Data Integration in IICS:

• Designing data integration jobs using IICS Mapping Designer.
• Configuring connections to various data sources and targets (databases, APIs, files).
• Implementing data transformation logic using IICS Data Transformation.

• Cloud Application Integration (CAI):

• Building APIs and connecting applications using CAI.
• Designing event-driven integrations and workflows in CAI.
• Integrating with SaaS applications (Salesforce, ServiceNow, etc.) using pre-built connectors.

• Data Quality and Governance:

• Implementing data quality rules and profiling in IICS CDQ.
• Cleansing and standardizing data using data quality transformations.
• Data governance practices and metadata management in IICS.

• Advanced Integration Techniques:

• Real-time integration using IICS Real-Time and RESTful APIs.
• Bulk data processing and ETL (Extract, Transform, Load) patterns in IICS.
• Handling complex data integration scenarios and error handling strategies.

• Performance Optimization and Scalability:

• Optimizing data integration workflows for performance and efficiency.
• Scalability considerations and best practices for handling large datasets.
• Monitoring and tuning IICS jobs for optimal resource utilization.

• Security and Compliance in IICS:

• Implementing security measures in IICS (encryption, authentication, access control).
• Compliance with data protection regulations (GDPR, CCPA) in IICS deployments.
• Best practices for securing data during integration and data processing.

• Monitoring, Troubleshooting, and Maintenance:

• Monitoring job execution and performance metrics in IICS.
• Troubleshooting common issues and errors in data integration workflows.
• Performing regular maintenance tasks and upgrades in IICS environments.

• Integration with Cloud and On-Premises Systems:

• Hybrid integration strategies with on-premises systems and cloud services.
• Integrating IICS with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
• Implementing data synchronization and replication across multiple environments.