Federated data management via Data Mesh at a Big 4 accounting firm

Presented by

Barak Gablinger, VP Customer Delivery and Gil Trotino, Director Product Marketing at K2View

About this talk

About this talk: For this international giant, complying with global and local data regulations – while federating data ownership – is a big daunting challenge. They have decided to deploy a Data Mesh architecture for managing customer and employee data. Join this webinar to discover how the K2View Data Product Platform is used in real-life to unify globally dispersed data, while federating data ownership and fulfilling data residency and data privacy requirements. Agenda: * The business drivers and considerations behind selecting a Data Mesh architecture * Data Mesh case study – company's requirements, data architecture, and benefits * Defining roles and responsibilities for making sensitive, operational data easily and safely accessible in a decentralized organization * Live demo: Creating and delivering data products in a Data Mesh
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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.