Informatica Big Data Integration Training
Introduction to Informatica Big Data Integration
Gain an overview of Informatica Big Data Integration, a powerful solution for managing and integrating large-scale data environments. Learn about its core features, architecture, and how it facilitates efficient big data integration.
Getting Started with Informatica Big Data Integration
Learn the basics of Informatica Big Data Integration. Understand the installation process, user interface, and essential tools for integrating and managing big data workflows.
Big Data Integration Techniques
Explore various techniques for integrating big data sources using Informatica. Learn about data ingestion methods, integration with big data platforms like Hadoop and Spark, and designing scalable data pipelines.
Data Transformation and Enrichment
Discover methods for transforming and enriching big data with Informatica. Learn how to apply complex transformations, data cleansing, and enrichment techniques to ensure data quality and usability.
Performance Tuning and Optimization
Understand performance tuning and optimization strategies for big data integration. Learn how to optimize data workflows, manage resources efficiently, and enhance the performance of big data operations.
Data Quality Management
Learn about data quality management in the context of big data integration. Explore data profiling, quality metrics, and data governance practices to ensure high-quality and reliable data.
Advanced Integration Features
Explore advanced integration features of Informatica Big Data Integration. Learn about real-time data integration, streaming data capabilities, and advanced analytics to leverage big data insights effectively.
Deployment and Management
Delve into deployment and management practices for Informatica Big Data Integration. Learn about deploying integration workflows, monitoring performance, and managing big data environments.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of Informatica Big Data Integration. Work on real-world scenarios to develop practical skills in big data integration and management.
Informatica Big Data Integration Syllabus
Introduction to Informatica Big Data Integration
- Overview of Informatica Corporation and its product offerings
- Introduction to Informatica Big Data Integration and its role in modern data architectures
- Understanding the challenges of big data integration and the need for specialized tools
Architecture and Components
- Overview of the architecture of Informatica Big Data Integration
- Understanding the key components such as Informatica PowerCenter, Informatica Developer, Informatica Administrator, and various runtime components
- Integration with different data sources and targets including traditional databases, data warehouses, and big data platforms
Installation and Setup
- Installation requirements and procedures for Informatica Big Data Integration
- Configuring connections to various data sources and targets
- Setting up security and access controls
Informatica PowerCenter
- Introduction to Informatica PowerCenter as the core ETL (Extract, Transform, Load) tool
- Overview of PowerCenter Designer for developing ETL mappings and workflows
- Understanding PowerCenter Workflow Manager for managing and monitoring workflows
Informatica Developer
- Introduction to Informatica Developer tool for developing mappings and workflows
- Designing data integration solutions for big data environments
- Implementing transformations and data quality rules
Informatica Administrator
- Administration tasks such as managing users, roles, and permissions
- Monitoring and troubleshooting Informatica Big Data Integration environment
- Performance tuning and optimization techniques
Big Data Integration
- Techniques for integrating and processing big data using Informatica
- Working with various big data platforms such as Hadoop, Spark, and NoSQL databases
- Handling complex data transformations and mappings in big data environments
Real-Time Data Integration
- Overview of real-time data integration capabilities in Informatica
- Implementing change data capture (CDC) and streaming data processing
- Integrating with messaging systems like Apache Kafka
Data Quality and Governance
- Ensuring data quality and governance in big data integration processes
- Implementing data profiling, cleansing, and standardization
- Managing metadata and lineage for regulatory compliance
Advanced Topics
- Advanced features such as dynamic mappings, parameterization, and reusable components
- Integrating with cloud platforms and hybrid environments
- Data masking and encryption techniques for sensitive data
Best Practices and Use Cases
- Best practices for designing and implementing data integration solutions using Informatica Big Data Integration
- Case studies and examples demonstrating real-world use cases and success stories
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details