Exploring How To Use Hadoop In Your Healthcare Big Data Strategy

Big Data, Big Data, Big Data – everybody is talking about it, but what is it, why are people talking about it, and how is it being done? Come ready to talk about emerging healthcare big data use cases that are pleading for the help of practical and powerful technologies like Spark, Hive, and others. If applied appropriately, these technologies can rev up your data warehouse and help you to address evolving data-driven healthcare needs around unstructured data, real-time data feeds, and machine learning. Sean Stohl, SVP in Product Development at Health Catalyst, will give you a practical understanding of where to get started with these technologies
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OTHER ON-DEMAND WEBINARS

Architecting a Secure, Highly-Available Kubernetes Data Services Platform for Red Hat OpenShift

Attend this webinar to find out how Portworx and Red Hat are working together to help you run your Kubernetes applications. In this talk, learn how Portworx Kubernetes Data Platform delivers the enterprise-grade features you need to manage and automate the data in your Red Hat OpenShift on AWS (ROSA) environment while reducing the AWS infrastructure bill by up to 60%.
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What’s New in the HAProxy Data Plane API 2.5

The HAProxy Data Plane API enables you to configure your HAProxy load balancers programmatically. This latest release, version 2.5, expands coverage of existing HAProxy configuration directives, fixes bugs, and optimizes performance.
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Accelerating Project Delivery Fast & Data Compliant

Watch our webinar fast data delivery demo for a walkthrough, showing you how to leverage Accelario to increase DevOps velocity, while achieving data compliance and reducing storage costs.
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Organizing the Chaos of Data: The Importance of Database Microservices in the Cloud

As companies invested in their digital transformations, one side effect was the proliferation of data environments and varying database instances. With so many systems to navigate, many organizations have fallen prey to operational disruptions and now struggle to achieve the high level of performance and scalability that their transformations promised.
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