WEBCAST:
Too many vendors (and, as a result, IT pros) consider cloud a technology in and of itself. This webcast explains the benefits of realising that the cloud is a way of providing IT services as a consolidated pool of server and storage resources that can be provisioned to support a wide range of applications and data types.
VIDEO:
In this video, David Merrill, Chief Economist of Hitachi Data Systems describes the principles of storage economics, the 33 point calculation used to show you how make your storage infrastructure more efficient and increase your ROI.
VIDEOCAST:
This videocast from CDW Corporation will take a brief, yet comprehensive look at Data Deduplication and the distinct, operational advantages this type of storage system can have on your every day business activity when compared with traditional backup methods. View now to learn more.
VIDEO:
This webcast will help you learn more about how to take the complexity out of Oracle database environments. Learn how customers have leveraged the power of virtualization and flash to get the best out of their Oracle investment. Watch to learn more.
PODCAST:
Listen to storage expert Marc Farley, president of Idix Inc., comment on how organizations can take control of storage through virtualization. Download one or all three of segments of this podcast series to learn the value of virtualization.
VIDEO:
Watch this brief video to discover a storage strategy that can solve these that helps solve your most difficult storage issues. Tune in to learn how you can implement that strategy in your business.
VIDEO:
This video features a brief overview of the benefits of storage virtualization. Tune in to learn how you can easily implement virtualization into your IT infrastructure.
WEBCAST:
Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy dig into this question in this custom webcast; they also examine a high-performance storage system that provides the parallel data access, architecture for multiple data types, and flexible scalability that ML and DL workloads require.
