Leading companies that are getting the most out of their data are not focusing on queries and data lakes; they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. Jack Norris reviews best practices for three use cases in ad/media, financial services, and healthcare to show how customers develop, deploy, and dynamically update these applications and how this data-first approach is fundamentally different from traditional applications.
Along the way, Jack covers examples of how customers identified ways to simplify data streams in a publish-and-subscribe framework (for example, how focusing on a stream of electronic medical records simplified the deployment of real-time applications for hospitals, clinics, and insurance companies). Jack also details how a data-first approach can lead to rapid deployment of additional real-time applications as well as centralize and simplify many data management and administration tasks.
Jack Norris is the senior vice president of data and applications at MapR Technologies, where he works with leading customers and partners worldwide to drive the understanding and adoption of new applications enabled by data and analytics. With over 25 years of enterprise software experience, he has demonstrated success from identifying new markets to defining new products to launching companies. Jack’s background includes senior executive positions with establishing analytic, virtualization, and storage companies. Jack was an early employee of MapR Technologies and held senior executive roles with EMC, Brio Technology, and Bain and Company.
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