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
  • INFACore
  • All Products

Table of Contents

Search

  1. Preface
  2. Introducing JupyterLab extension for INFACore
  3. Set up the runtime environment
  4. Connect to the data source
  5. Explore the data
  6. Monitoring your activities and logs

JupyterLab Extension for INFACore

JupyterLab Extension for INFACore

Back Next

Connect to the data source

Connect to the data source

To connect to a data source, specify the data source that you want to connect to and then create a connection to enable the exchange of data between your development environment and the source and target endpoints.
You can use INFACore to connect to a wide variety of data sources for data integration. Specify the data sources to create connections that provide access to data in cloud and on-premise applications, platforms, databases, and flat files.
Some data integration settings are connector-specific. For more information, see the help for the relevant data source.
0 COMMENTS
We’d like to hear from you!