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Items Tagged: Data+Storage

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HDD Data Storage Remains Viable Despite Falling SSD Prices: Analyst

NEWS ANALYSIS: Prices of solid state drive technology continue their free fall, making them more cost-effective for storage than hard disk drives. But an industry analyst at a Silicon Valley conference says HDDs still have some life in them yet.

  • Premiered: 10/18/12
  • Author: Taneja Group
  • Published: eWeek
Topic(s): TBA SSD TBA Data Storage TBA HDD TBA Arun Taneja TBA VDI TBA Flash TBA SNW
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Out on a data storage market limb: Six predictions for 2015

Our crystal ball tells us this will be a year of change for the data storage market.

  • Premiered: 01/05/15
  • Author: Mike Matchett
  • Published: Tech Target: Search Storage
Topic(s): TBA Data Storage TBA Storage TBA DAS TBA Big Data TBA data lake TBA hub concept TBA enterprise data TBA BlueData TBA hybrid storage TBA AFA TBA All Flash TBA all flash array TBA Data protection TBA cloud tiering TBA VM TBA Virtual Machine TBA Virtualization TBA VVOL TBA VMWare TBA EMC TBA NetApp TBA Avalanche Technology TBA HDS TBA Hitachi Data Systems TBA IBM TBA EVO:RAIL TBA Nutanix TBA Scale Computing TBA SimpliVity TBA hyperconverged
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New approaches to scalable storage

With all these scalable storage approaches, IT organizations must evaluate the options against their data storage and analytics needs, as well as future architectures.

  • Premiered: 03/16/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA Mike Matchett TBA TechTarget TBA Storage TBA scalable TBA scalability TBA analytics TBA Data Storage TBA Big Data TBA Block Storage TBA File Storage TBA object storage TBA scale-out TBA scale-up TBA Performance TBA Capacity TBA HA TBA high availability TBA latency TBA IOPS TBA Flash TBA SSD TBA File System TBA Security TBA NetApp TBA Data ONTAP TBA ONTAP TBA EMC TBA Isilon TBA OneFS TBA Cloud
news

Moving to all-flash? Think about your data storage infrastructure

It's best to take a big-picture approach to your data storage infrastructure when deciding whether to enter the all-flash array marketplace.

  • Premiered: 04/07/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA SSD TBA All Flash TBA Storage TBA Data Storage TBA storage infrastructure TBA QoS TBA Hybrid Array TBA HDD TBA Flash TBA Converged Infrastructure TBA converged storage TBA convergence TBA all-flash TBA SDS TBA software-defined storage TBA software-defined TBA HP TBA 3PAR TBA SimpliVity TBA EMC TBA IBM TBA NetApp TBA Kaminario TBA Nimble Storage TBA Pure Storage TBA Violin Memory
news

Are data reduction techniques essential in VDI environments?

Data reduction methods can help shrink your storage footprint and costs. Here are some guidelines for incorporating these approaches into your VDI environment.

  • Premiered: 04/13/15
  • Author: Taneja Group
  • Published: TechTarget: Search Virtual Storage
Topic(s): TBA Tom Fenton TBA TechTarget TBA Data reduction TBA VDI TBA virtual desktop TBA Virtual Desktop Infrastructure TBA Storage TBA Enterprise Storage TBA Data Storage TBA Deduplication TBA data compression TBA Virtualization
news

Is High-Value Data Truly Secure?

“Unsure” or “not confident at all” were the responses given by 55 percent of IT users from around the world when asked if their organization’s files were being backed up, according to a survey performed by global data storage and information security company Imation.

  • Premiered: 06/18/15
  • Author: Taneja Group
  • Published: PYMNTS
Topic(s): TBA Imation TBA Christine Taylor TBA Data Storage TBA Storage TBA DP TBA Data protection TBA Security
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Data storage companies add intelligence to on-site arrays

Data-aware storage yields new insights and management capabilities. But challenges include meeting IT organization's needs, tying in with existing systems and the cloud alternative.

  • Premiered: 10/20/15
  • Author: Taneja Group
  • Published: TechTarget: Search Data Center
Topic(s): TBA Storage TBA Data Storage TBA data-aware TBA Cloud TBA Jeff Kato TBA Flash TBA SSD TBA Optimization TBA AFA TBA all-flash TBA all flash array TBA All Flash TBA Performance TBA EMC TBA Isilon TBA Cloud providers TBA Hadoop TBA Hadoop Distributed File System TBA HDFS TBA Qumulo TBA DataGravity TBA open API TBA API
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Hyperscale Cloud Vendors vs. Cloud-Enabled Data Protection Vendors

Cost alone should not be the deciding factor when deciding between a hyperscale cloud vendor or a cloud-enabled data protection provider.

  • Premiered: 11/06/15
  • Author: Jim Whalen
  • Published: Datamation
Topic(s): TBA datamation TBA hyperscale TBA Cloud TBA Data protection TBA Amazon TBA Google TBA Microsoft TBA Cloud Storage TBA Storage TBA Data Storage TBA Data Management TBA DP TBA Compute TBA Software as a Service TBA Saas TBA Infrastructure as a Service TBA IaaS TBA cloud data center TBA DP cloud TBA Barracuda TBA SMB TBA Backup TBA replication TBA VMWare TBA VM TBA Virtual Machine TBA Disaster Recovery TBA DR TBA Datto TBA WAN
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What's the future of data storage in 2016?

Mike Matchett takes a closer look at the future of data storage technology in 2016 based on research from the Taneja Group.

  • Premiered: 01/06/16
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA Data Storage TBA software-defined TBA Flash TBA SSD TBA Performance TBA Density TBA all-flash TBA all flash array TBA AFA TBA Hybrid TBA Hybrid Array TBA hybrid storage TBA OPEX TBA Auto-Tiering TBA Optimization TBA Capacity TBA CAPEX TBA QoS TBA EMC TBA Dell TBA HPE TBA NetApp TBA IBM TBA NAS TBA 3PAR TBA StoreOnce TBA data protector TBA Oracle TBA ZDLRA
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Get the most from cloud-based storage services

Enterprise data storage managers are in position to help their companies get more from cloud storage services.

  • Premiered: 05/02/16
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Enterprise Storage TBA Storage TBA Cloud TBA Data Storage TBA cold storage TBA cold data TBA Archive TBA Hybrid Cloud TBA HCS TBA Hybrid Cloud Storage TBA Saas TBA Big Data TBA tiering TBA CTERA TBA Private Cloud TBA ClearSky Data TBA hyper-converged TBA WAN Optimization TBA WANO TBA Riverbed TBA SteelFusion TBA IBM TBA EMC TBA Microsoft TBA Microsoft Azure TBA StorSimple TBA Oracle
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Datera Announces Next-Generation Elastic Data Fabric to Simplify Data Storage for Enterprise

Datera Continues to Elevate the Data Storage Landscape by Enabling Continuous and Faster App Delivery, Massive Scalability and Price-Performance Flexibility for All Apps and Infrastructure Stacks.

  • Premiered: 09/27/16
  • Author: Taneja Group
  • Published: MarketWatch
Topic(s): TBA Storage TBA Datera TBA scalable TBA scalability TBA Private Cloud TBA Public Cloud TBA flexibility TBA Data Storage TBA data storage management TBA Storage Management TBA enterprise cloud TBA Cloud TBA VMWare TBA vCenter TBA Microsoft TBA Microsoft SQL TBA SQL TBA Microsoft Exchange TBA SharePoint TBA MySQL TBA Cassandra TBA MongoDB TBA Docker TBA Docker Swarm TBA Google TBA Google Kubernetes TBA Dell TBA DevOps TBA software-defined TBA Software-Defined Data Center
Profiles/Reports

Qumulo Tackles the Machine Data Challenge: Six Customers Explain How

We are moving into a new era of data storage. The traditional storage infrastructure that we know (and do not necessarily love) was designed to process and store input from human beings. People input emails, word processing documents and spreadsheets. They created databases and recorded business transactions. Data was stored on tape, workstation hard drives, and over the LAN.

In the second stage of data storage development, humans still produced most content but there was more and more of it, and file sizes got larger and larger. Video and audio, digital imaging, websites streaming entertainment content to millions of users; and no end to data growth. Storage capacity grew to encompass large data volumes and flash became more common in hybrid and all-flash storage systems.

Today, the storage environment has undergone another major change. The major content producers are no longer people, but machines. Storing and processing machine data offers tremendous opportunities: Seismic and weather sensors that may lead to meaningful disaster warnings. Social network diagnostics that display hard evidence of terrorist activity. Connected cars that could slash automotive fatalities. Research breakthroughs around the human brain thanks to advances in microscopy.

However, building storage systems that can store raw machine data and process it is not for the faint of heart. The best solution today is massively scale-out, general purpose NAS. This type of storage system has a single namespace capable of storing billions of differently sized files, linearly scales performance and capacity, and offers data-awareness and real-time analytics using extended metadata.

There are a very few vendors in the world today who offer this solution. One of them is Qumulo. Qumulo’s mission is to provide high volume storage to business and scientific environments that produce massive volumes of machine data.

To gauge how well Qumulo works in the real world of big data, we spoke with six customers from life sciences, media and entertainment, telco/cable/satellite, higher education and the automotive industries. Each customer deals with massive machine-generated data and uses Qumulo to store, manage, and curate mission-critical data volumes 24x7. Customers cited five major benefits to Qumulo: massive scalability, high performance, data-awareness and analytics, extreme reliability, and top-flight customer support.

Read on to see how Qumulo supports large-scale data storage and processing in these mission-critical, intensive machine data environments.

Publish date: 10/26/16
news

Showback the value of your data storage expertise

To demonstrate value, IT must provide an easy-to-understand cost model to its business leaders. This has fostered IT showback projects. Yet showback isn't easy to achieve.

  • Premiered: 01/09/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Cloud Storage
Topic(s): TBA Storage TBA Data Storage TBA Virtualization TBA Data protection TBA Cloud TBA Public Cloud TBA Automation TBA convergence TBA Cloud Computing TBA IO acceleration TBA IO acceleration TBA IO latency TBA IO latency TBA Capacity TBA data resiliency TBA resiliency TBA IO access TBA IO access TBA bandwith TBA application performance TBA Backup TBA reliability TBA Disaster Recovery TBA DR TBA data governance TBA Security TBA Encryption TBA hybrid integration TBA Migration TBA global distribution
news

Hyper-convergence: It's for more than primary data storage

The lines between primary and secondary storage and applications such as hyper-convergence remain blurry. But they are a starting point for further discussion.

Profiles/Reports

Is Object Storage Right For Your Organization?

Is object storage right for your organization? Many companies are asking this question as they seek out storage solutions that support vast unstructured data growth throughout their organizations. Object storage is ideal for large-scale unstructured data storage because it easily scales to several petabytes and beyond by simply adding storage nodes. Object storage also provides high fault tolerance, simplified storage management and hardware independence – core capabilities that are essential to cost-effectively manage large-scale storage environments. Add to this built-in support for geographically distributed environments and it’s easy to see why object storage solutions are the preferred storage approach for multiple use cases such as cloud-native applications, highly scalable file backup, secure enterprise collaboration, active archival, content repositories and increasingly cognitive computing workloads such as Big Data analytics.

To help you decide if object storage is right for your company and to help you understand how to apply various storage technologies, we have created a table below that positions object storage relative to block storage and file storage.

As the table shows, there are several factors that differentiate block, file and object storage. An easy way to think about the differences is the following; block storage is necessary for critical applications where storage performance is the key consideration, file storage is well-suited for highly scalable shared file systems and object storage is ideal when cloud-scale capacity and convenience as well as reliability and geographically distributed access are the major storage requirements. 

Publish date: 12/30/16