Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Data Engineering Integration H2L
  • All Products

Table of Contents

Search

  1. Abstract
  2. Supported Versions
  3. Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Back Next

Functionality

Functionality

When you deploy Big Data Management in the Amazon AWS cloud environment, you can run mappings in a cluster on Amazon EMR against sources and targets in Amazon S3 or other Amazon data repositories. This section explains the following functional features:
  • Connectivity. Perform configuration tasks to enable connectivity between your data warehouse and AWS.
  • Transformations. Transformations perform specific functions within big data mappings.
  • Ephemeral clusters. Use an ephemeral cluster strategy to save AWS resources.
  • Auto-scaling. Configure auto-scaling to scale out (increase) and scale in (decrease) core and task nodes for Spark mapping processing.
0 COMMENTS
We’d like to hear from you!