Red Hat, Inc. (NYSE: RHT), the world’s leading provider of open source solutions, today announced its big data direction and solutions to satisfy enterprise requirements for highly reliable, scalable, and manageable solutions to effectively run their big data analytics workloads. In addition, Red Hat announced that the company will contribute its Red Hat Storage Hadoop plug-in to the Apache TM Hadoop® open community to transform Red Hat Storage into a fully-supported, Hadoop-compatible file system for big data environments, and that Red Hat is building a robust network of ecosystem and enterprise integration partners to deliver comprehensive big data solutions to enterprise customers. This is another example of Red Hat’s strategic commitment to big data customers and its continuing efforts to provide them with enterprise solutions through community-driven innovation.
Red Hat big data infrastructure and application platforms are ideally suited for enterprises leveraging the open hybrid cloud environment. Red Hat is working with the open cloud community to support big data customers. Many enterprises worldwide use public cloud infrastructure, such as Amazon® Web Services (AWS), for the development, proof-of-concept, and pre-production phases of their big data projects. The workloads are then moved to their private clouds to scale up the analytics with the larger data set. An open hybrid cloud environment enables enterprises to transfer workloads from the public cloud into their private cloud without the need to re-tool their applications. Red Hat is actively engaged in the open cloud community through projects like OpenStack and OpenShift Origin to help meet these enterprise big data expectations both today and in the future.
Today, there are several Red Hat solutions available to effectively manage enterprise big data workloads. Focused on three primary areas, Red Hat’s big data direction includes extending its product portfolio to deliver enhanced enterprise-class infrastructure solutions and application platforms, and partnering with leading big data analytics vendors and integrators.
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