Informatica Big Data Edition Training
Introduction to Informatica Big Data Edition
Gain an overview of Informatica Big Data Edition, a comprehensive data management solution designed for big data environments. Learn about its core features, architecture, and how it helps organizations manage and integrate large volumes of data.
Getting Started with Informatica Big Data Edition
Learn the basics of Informatica Big Data Edition. Understand the installation process, workspace layout, and essential tools and features for managing big data projects.
Big Data Integration
Explore how to integrate big data sources using Informatica. Learn about data ingestion techniques, integration with big data platforms like Hadoop and Spark, and designing scalable data workflows.
Data Transformation and Processing
Discover methods for transforming and processing big data with Informatica. Learn how to apply complex transformations, data cleansing, and aggregation to handle large datasets efficiently.
Data Quality and Governance
Understand data quality and governance in the context of big data. Learn about data profiling, quality metrics, and governance frameworks to ensure data accuracy and compliance.
Performance Optimization
Learn about performance optimization techniques for big data environments. Explore strategies for tuning performance, managing resources, and ensuring efficient data processing and integration.
Advanced Big Data Features
Explore advanced features of Informatica Big Data Edition. Learn about real-time data processing, machine learning integration, and advanced analytics to leverage big data insights effectively.
Deployment and Management
Delve into deployment and management practices for Informatica Big Data Edition. Learn about deployment strategies, monitoring, and managing big data workflows and environments.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of Informatica Big Data Edition. Work on real-world scenarios to develop practical skills in big data integration, transformation, and management.
Informatica Big Data Edition Syllabus
Parameters
- Parameter Types
- Properties that may be parameterized
- Parameter Binding
Dynamic Mappings
- Intended uses
- Use with Parameters
- Dynamic Schemas
- Dynamic Ports
- Input Rules
- Dynamic expressions
Mapping and Developer Enhancements
- Intended uses
- Use with Parameters
- Dynamic Schemas
- Dynamic Ports
- Input Rules
- Dynamic expressions
Partitioned Mappings
- MxN Partitioning
- Support for Sorter
- Configurable parallelism
Data Processor Transformation
- Installing Libraries
- Library Object
- RunMapplet action
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