Data Fabric as a Service – The modern approach to cloud data integration

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Presented by

Noel Yuhanna, VP & Principal Analyst, Forrester & Gil Trotino, Director Product Marketing, K2View

About this talk

Enterprises have traditionally integrated their data, applications, and business processes via a combination of custom programming, middleware, and/or enterprise application integration (EAI) implementations. iPaaS, or “integration Platform as a Service”, standardizes how applications and data are integrated in an organization, making it easier to automate business processes, and share data across applications. Join this webinar to learn why data fabric has emerged as the leading cloud data integration architecture for the enterprise, and the common challenges it resolves. Agenda: • Data integration use cases and challenges • Data fabric as an emerging data integration architecture • Key capabilities and benefits of a data product approach to data integration • Cloud data integration using the K2View Data Product Platform
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At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile. With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer. Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly. The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.