SUNNYVALE, Calif. — June 8, 2017 — NetApp (NASDAQ: NTAP), a DataWorks Summit/Hadoop Summit gold sponsor, will showcase a variety of hybrid cloud data services to help customers accelerate their digital transformation. DataWorks/Hadoop Summit 2017 will take place June 13 to 15 at the San Jose McEnery Convention Center. Attendees can visit NetApp in booth #306.
At the conference, attendees can discover how NetApp helps organizations meet the most demanding enterprise requirements for their Hadoop workloads and build their data lakes on the most open, scalable platform in the industry. NetApp was recently HDP and Yarn Ready certified by Hortonworks, ensuring NetApp’s solutions have been reviewed and validated for HDP and that NetApp applications integrate with Apache Hadoop YARN.
Attendees can also join NetApp’s breakout session “Addressing Enterprise Customer Pain Points with a Data Driven Architecture” in Ballroom B at 3 p.m. PT on June 15. In this session, attendees will learn how a data driven approach can help customers more easily manage the complexity of data movement, replication and cloud integration in their big data and analytics projects.
DataWorks Summit/Hadoop Summit is a big data community event focused on how open source technologies enable data, on premise and in the cloud, to drive predictive analytics, distributed deep-learning, and artificial intelligence initiatives. For more information, visit: dataworkssummit.com/san-jose-2017
Read more about NetApp’s work with Hortonworks and our participation at DataWorks Summit/Hadoop Summit on our blog.
NetApp is the data authority for hybrid cloud. We provide a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. Together with our partners, we empower global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation, and optimize their operations. For more information, visit www.netapp.com. #DataDriven
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