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

Placement Benefit Services

Provide 100% job-oriented training
Develop multiple skill sets
Assist in project completion
Build ATS-friendly resumes
Add relevant experience to profiles
Build and enhance online profiles
Supply manpower to consultants
Supply manpower to companies
Prepare candidates for interviews
Add candidates to job groups
Send candidates to interviews
Provide job references
Assign candidates to contract jobs
Select candidates for internal projects

Note

100% Job Assurance Only
Daily online batches for employees
New course batches start every Monday