File Virtualization Reports

Rethinking storage for the big data age
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide, read about how Australian organisations are coping with the storage challenges of big data, why flash storage is still too expensive for some companies and how NetApp is evolving to keep up with changes in the industry.
Posted: 08 Feb 2021 | Published: 06 Nov 2017

TechTarget ComputerWeekly.com

Infographic: 2019 Europe IT Priorities, Storage
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this infographic, we take a look at what the most popular primary and secondary storage initiatives are in 2019 as well as how much storage will be maintained on-premise across Europe. Survey results taken from the 2019 IT Priorities survey carried out by ComputerWeekly.com, ComputerWeekly.de and LeMagIT.fr.
Posted: 08 Feb 2021 | Published: 23 Apr 2019

TechTarget ComputerWeekly.com

Hyper-converged Infrastructure Simplifies Virtual Environments
sponsored by SimpliVity
EGUIDE: This expert e-guide takes a look at how hyper-converged infrastructure can simplify storage in virtualized environments. Read on to learn about how hyper-convergence offers added flexibility and agility, and how it can make your virtual storage management easier.
Posted: 15 Feb 2016 | Published: 09 Feb 2016

SimpliVity

Differentiating All-flash Array Vendors from their Counterparts
sponsored by Western Digital
EGUIDE: Our experts compiled this guide to determining the most suitable AFA vendor for your enterprise—ensuring you choose one that not only provides snapshots and thin provisioning, but also active-active controllers and replication, and QoS. Read on to also gain access to instruction for a three-phase AFA implementation.
Posted: 26 Jun 2017 | Published: 19 Jun 2017

Western Digital

CW Europe – Forecast: Cloudy with Dry Spells
sponsored by TechTarget ComputerWeekly.com
EZINE: In Europe cloud is restricted and hybrid setups make use of local compute and storage.
Posted: 09 Feb 2016 | Published: 08 Feb 2016

TechTarget ComputerWeekly.com

Delivering Fast Time to Results with Storage Built for Machine Learning
sponsored by WekaIO
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.
Posted: 10 May 2019 | Premiered: May 10, 2019

WekaIO

Elastic Flash: Enabling Private Clouds and Analytics
sponsored by IBM
WHITE PAPER: In this white paper, you'll learn how one potential flash storage solution utilizes private cloud infrastructures to allow work to get done faster, make your enterprise more efficient, lower TCO and raise ROI.
Posted: 01 Apr 2015 | Published: 13 Feb 2015

IBM

Modernizing Enterprise Storage for Machine Learning and Analytics Workloads
sponsored by WekaIO
WHITE PAPER: Highlighted in this custom white paper is a storage solution that offers the simplicity of NAS coupled with the scalability, performance, and simplified management that machine learning, AI, and analytics workloads require.
Posted: 03 May 2019 | Published: 30 Apr 2019

WekaIO

Ten Methods of Improving Virtual Server Storage
sponsored by Pure Storage
EGUIDE: Performance monitoring for virtual storage is very difficult due to the hypervisor lacking the insight into what's happening with that storage. This expert guide illustrates how to improve the performance of your virtual server storage with 10 proven methods.
Posted: 20 Apr 2017 | Published: 17 Apr 2017

Pure Storage

FlashSystem: IP-Only AB Case Study
sponsored by IBM
CASE STUDY: This white paper explains how flash storage technology can maximize the benefits of your business growth by packing more virtual environments into the same physical infrastructure and delivering faster analytical insight. Read on here to learn how to implement flash in your virtual data center.
Posted: 18 Mar 2015 | Published: 18 Mar 2015

IBM