The Next Generation Data Center Demands a Next Generation Storage Architecture

04/20/2017

In today’s digital economy, markets and customer purchasing behaviors are changing. Today’s customers expect everything to be available online, anytime, anywhere, and from any type of device. In order to satisfy these expectations, enterprise IT departments have to react quickly to changing business needs while continuing to manage the mission-critical legacy workloads that “keep the […]

Why I Advocate for NetApp

04/20/2017

Last year, I was invited to join the EMEA Chapter of the NetApp A-Team. Having never heard about it before, my first thought was that this was some gang of renegades that drove around in a black van with a red stripe on the side, saving the world. As it turns out, this is only […]

Why the Future of Healthcare is Being Driven by Data

04/11/2017

Healthcare organisations are facing unprecedented demand for high quality, affordable clinical services.   This demand is driven by the ageing population, rapid advances in medical technology and pharmacology, and a better informed and litigious population.   Organisations globally are under immense cost pressure as consumers demand demonstrable value for their money. Fortunately, NetApp offers a […]

Tech ONTAP Podcast Episode 81: NetApp Service Level Manager

04/07/2017

This week on the podcast, we invited the NetApp Service Level Manager team to talk to us about how they’re revolutionizing storage as a service and automating day to day storage administration tasks. Join Executive Architect Evan Miller (@evancmiller), Product Manager Nagananda.Anur (Nagananda.Anur@netapp.com) and Technical Director Ameet.Deulgaonkar (Ameet.Deulgaonkar@netapp.com, @Amyth18) as they detail the benefits of NetApp Service […]

NetApp Solutions for Apache Spark Outperform JBOD

03/30/2017

Apache Spark is an open-source cluster computing framework that was developed in response to limitations in the MapReduce cluster computing paradigm. Apache Spark is a relatively new programming framework for writing Hadoop applications that works directly with the Hadoop Distributed File System (HDFS). Spark is production ready, supports processing of streaming data, and is faster than MapReduce.   […]