-
Manage your Success Plans and Engagements, gain key insights into your implementation journey, and collaborate with your CSMsSuccessAccelerate your Purchase to Value engaging with Informatica Architects for Customer SuccessAll your Engagements at one place
-
A collaborative platform to connect and grow with like-minded Informaticans across the globeCommunitiesConnect and collaborate with Informatica experts and championsHave a question? Start a Discussion and get immediate answers you are looking forCustomer-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
-
Troubleshooting documents, product guides, how to videos, best practices, and moreKnowledge CenterOne-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and moreVideo channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much moreInformation library of the latest product documentsBest practices and use cases from the Implementation team
-
Rich resources to help you leverage full capabilities of our productsLearnRole-based training programs for the best ROIGet certified on Informatica products. Free, Foundation, or ProfessionalFree and unlimited modules based on your expertise level and journeySelf-guided, intuitive experience platform for outcome-focused product capabilities and use cases
-
Library of content to help you leverage the best of Informatica productsResourcesMost popular webinars on product architecture, best practices, and moreProduct Availability Matrix statements of Informatica productsMonthly support newsletterInformatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description ScheduleEnd of Life statements of Informatica products
08:35
×
44850 Views
|
06 Jan 2014
Add to Favorites
Remove from Favorites
Partition and Partition point parallel data processing and data redistribution
This video demonstrates,
1) What is partition and partition point.
2) How are they used together to sever the purpose of parallel processing of data, ensuring the data integrity.
3) How it helps in obtaining better performance.
Back To Top