APAC CIOOutlook

Advertise

with us

  • Technologies
      • Artificial Intelligence
      • Big Data
      • Blockchain
      • Cloud
      • Digital Transformation
      • Internet of Things
      • Low Code No Code
      • MarTech
      • Mobile Application
      • Security
      • Software Testing
      • Wireless
  • Industries
      • E-Commerce
      • Education
      • Logistics
      • Retail
      • Supply Chain
      • Travel and Hospitality
  • Platforms
      • Microsoft
      • Salesforce
      • SAP
  • Solutions
      • Business Intelligence
      • Cognitive
      • Contact Center
      • CRM
      • Cyber Security
      • Data Center
      • Gamification
      • Procurement
      • Smart City
      • Workflow
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Artificial Intelligence

    Big Data

    Blockchain

    Cloud

    Digital Transformation

    Internet of Things

    Low Code No Code

    MarTech

    Mobile Application

    Security

    Software Testing

    Wireless

  • E-Commerce

    Education

    Logistics

    Retail

    Supply Chain

    Travel and Hospitality

  • Microsoft

    Salesforce

    SAP

  • Business Intelligence

    Cognitive

    Contact Center

    CRM

    Cyber Security

    Data Center

    Gamification

    Procurement

    Smart City

    Workflow

Menu
    • Red Hat
    • Cyber Security
    • Hotel Management
    • Workflow
    • E-Commerce
    • Business Intelligence
    • MORE
    #

    Apac CIOOutlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    Editor's Pick (1 - 4 of 8)
    left
    Jumping the SDN/NFV Disillusion Curve

    Manjeet Dhariwal, Co-founder & CTO, CloudSmartz

    The importance of Open Source Operating Systems

    Dev Chanchani, CEO & Founder, INetU

    Migration Considerations : What Enterprise Organizations Need to Consider Before, During and After a Migration to the Cloud?

    Ryan Pelerin, Founding Partner & COO, WSM International

    Are Commercial Graphs and Data-Driven Applications in Your Future ?

    Ramon Chen, VP Marketing, Reltio

    Private Cloud Database as a Service-How to Deliver Data Management Agility and Choice that Rivals the Public Cloud

    Ken Rugg, Founder, CEO and Board Member, Tesora

    Do Your Employees' Desktops Belong in the Cloud?

    Eric Ruscheinski, Sr. Director of IT of Salient CRGT

    Which are the Top Retail Technology Trends to Watch Out for

    Savio Thattil, CIO & SVP of Technology, Sephora Americas

    Big Shifts Enterprise Transformation through Open Source V1

    Andrew Aitken, Global Open Source Practice Leader, Wipro

    right

    Put Your Storage to Work with Data Virtualization

    Graham Smith, Director-Virtualization Product, Primary Data

    Tweet
    content-image

    Graham Smith, Director-Virtualization Product, Primary Data

    From mobile devices, to the cloud, to the Internet of Things (IoT), new technologies give IT teams more types of data to manage than ever before. This data diversity has also created unprecedented Storage diversity, as new storage types emerge to serve specific data needs. Innovations like phase-change memory answer the need for ever-faster response times. Object and cloud storage products are reducing costs to store data that isn’t actively used, but can’t be deleted.

    Each of these storage types and platforms offer different benefits to the datacenter, but are silos that trap data and need to be managed separately. Data virtualization resolves this problem by enabling IT to automatically allocate storage resources according to changing data needs. Let’s take a closer look at how.

    Achieving Global Data Visibility

    Server virtualization gives companies global visibility into compute resources with centralized, automated management for application and server deployment. Software-defined networking (SDN) gives organizations the ability to dynamically configure networking, but data is still trapped in silos, making storage the most stagnant and inflexible part of IT today. Data virtualization dynamically aligns storage to changing business needs, which is the next step towards the truly software-defined datacenter (SDDC).

    Data virtualization separates metadata (data about the data) from the actual data, to provide a logical abstraction of physical storage within a single global dataspace. This gives IT a unified view of data and how it is being accessed. Metadata statistics and telemetry deliver unprecedented insight into the operational health of the datacenter. Once data can be viewed and accessed independently of the storage container, companies can finally see what’s happening across all of their storage resources.

    “Data virtualization can detect when resources are becoming contended and proactively move data to other resources”

    Dynamically Aligning Storage to Evolving Business Needs

    Once data is freed from storage silos, it can be moved non-disruptively across different types of storage automatically from flash, to SAN and NAS, to the cloud, as business needs evolve.

    This automated movement can be controlled by policy. Just as server virtualization enabled IT to assign a virtual machine (VM)’s CPU and RAM requirements, IT can now assign requirements for data—using terms application owners understand.

    For example, conventionally, an application or VM admin

    informs a storage admin of the requirements of their app or VM. Then there is a wait while the storage admin searches available storage devices for a system that can support those needs, and provides the app or VM admin a storage target. With data virtualization, an admin simply has to assign policies that define the application’s performance (IOPS, bandwidth, latency) and protection (availability, durability, security) needs. These objective-based policies can be defined by an application owner or architect and prepackaged in ways that allow admins to assign policies themselves. Once the policy is assigned, the data virtualization software automatically places data on the ideal storage to meet the objectives. 

    Unlike conventional, converged, and hyper-converged technologies, instead of moving data into a new silo that can be managed more easily, data virtualization eliminates the silos that make global data management difficult to begin with. This introduces much more powerful data management capabilities.

    While traditional data management software is blind beyond the storage container, data virtualization can perform real-time analytics of statistics with telemetry across all resources in the datacenter. This global visibility enhances data placement decisions. For example, data virtualization enables admins to prioritize data to protect mission critical service levels. When resource contention on a storage device threatens to affect Quality of Service, data virtualization can see whether other storage targets can meet the data requirements and automatically and non-disruptively move the data to maintain its SLO.

    Adding Intelligence for Predictive Datacenter Management

    The real-time analytics of data virtualization software even makes it possible to implement machine learning algorithms that predict when data needs might increase. For instance, data virtualization software can learn that data associated with financial applications is accessed more at the end of the quarter. It can proactively move this data to higher performing storage before the activity surge occurs, then back to more cost-effective storage once activity levels subside.

    Intelligent data virtualization also makes management easier for admins because polices can be leveraged to automate the assignment of data objectives. Data virtualization software can automatically apply policies to data based onactivity or inactivity levels, such as files that have been active or inactive in the last 30 days, or based on pattern matching of file types, such as .tmp, .log, .dat, or .sql files.

    Eliminate Fire Drills and Migration Pain

    Just as vMotion moves applications and operating environments between servers without disruption, data virtualization can non-disruptively move data between storage resources. This has enormous benefits. For example, an application can suffer high latency when a storage resource can’t meet the application’s needs during times of high demand. Data virtualization can detect when resources are becoming contended and proactively move data to other resources. Since this mobility is non-disruptive, enterprises can also keep applications live during storage migrations and upgrades. With data virtualization, storage upgrades become a simple and fast process of adding the data to the global dataspace, applying the appropriate policies and pointing the application to the new location, with no need for slow and error-prone data migrations. When these actions happen automatically, application uptime increases and IT can focus on other strategic tasks that add more value to the business.

    Data virtualization enables companies to finally do with storage what they have been doing with servers for decades. Server virtualization gives companies global visibility into compute resources, as well as the ability to centrally manage and automatically allocate server resources according to VM needs. Similarly, data virtualization gives companies global visibility into storage resources, and the ability to centrally manage data according to business needs. With data virtualization complementing server virtualization, enterprises can finally maximize efficiency from compute to storage resources and achieve the agility necessary to respond instantly to evolving business demands.

    tag

    Data Management

    Financial

    IoT

    Machine Learning

    Weekly Brief

    loading
    25 Most Promising Red Hat Solution Providers
    ON THE DECK

    Red Hat 2016

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Copyright © 2025 APAC CIOOutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    Home |  CXO Insights |   Whitepapers |   Subscribe |   Conferences |   Sitemaps |   About us |   Advertise with us |   Editorial Policy |   Feedback Policy |  

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://red-hat.apacciooutlook.com/cxoinsights/put-your-storage-to-work-with-data-virtualization-nwid-1987.html?utm_source=google&utm_campaign=apacciooutlook_topslider