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Intricity’s Integration Modernization Assessment



January 22, 2016


Intricity is partnering with SnapLogic to offer a 3rd party modernization assessment which will outline the steps for transitioning from legacy data and application integration technologies to a modern integration platform as a service (iPaaS). This offering sponsored by SnapLogic delivers a valuable view into modern integration opportunities which your organization might be missing.

This modernization assessment is a streamlined 3 day engagement with some of the top experts in the Data Integration and Management space.

According to Gartner, “Integration can be a source of competitive differentiation and an enabler for bimodal IT, but most CIOs have yet to recognize that their traditional, established integration strategies cannot cope with digitalization’s fast technology innovation and accelerated pace of business.”

Jack Kudale, SnapLogic’s SVP of Field Operations had this to say: “Many IT organizations today are still relying on legacy technologies that were built for the rows-and-columns world, causing them to struggle with modern data requirements such as REST, JSON, and Hadoop. Over the past 12 months, we’ve been talking to a growing number of Informatica customers, for example, who are facing difficult upgrades and end-of-life for older versions of their data integration software. To assist with digital transformation initiatives, we’ve worked with Intricity to introduce a 3-day Integration Modernization Assessment that helps companies understand their options for developing a more cost-effective and productive integration strategy.”

You can learn more about how to get to the cloud and big data faster in this week’s webinar, which will feature Arkady Kleyner from Intricity and Kai Thapa from SnapLogic. We’ll also dive into a demonstration of the SnapLogic Elastic Integration Platform and outline some of the key differences between our enterprise iPaaS solution and legacy ETL and application integration technologies.

Get to the Cloud and Big Data Integration Faster with Modern Data Integration
Thursday, January 21, 2016
10:00am PDT / 1:00pm EDT


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