By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: The Cloud Doesn’t Eliminate The Need For Data Recovery Software
Share
Notification Show More
Latest News
big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > The Cloud Doesn’t Eliminate The Need For Data Recovery Software
Cloud ComputingExclusiveITSoftware

The Cloud Doesn’t Eliminate The Need For Data Recovery Software

Annie Qureshi
Last updated: 2020/11/21 at 10:54 PM
Annie Qureshi
6 Min Read
data recovery image
Shutterstock Licensed Photo - By Sammby
SHARE

Cloud computing has disrupted the digital technology sector in surprising ways. According to some estimates, the market is expected to rise to $411 billion by the end of next year. The rapid growth can largely be attributed to advances in artificial intelligence and big data. However, despite some of the fascinating advances, there are still some obstacles and limitations. Contrary to popular belief, cloud computing has not eliminated the need for traditional data recovery solutions.

Contents
What are some of the reasons that cloud technology can?t replace traditional data recovery solutions?Big Data Drives Need for Data Restoration TechnologyAI-based Data recovery solutions are essential when cloud storage fails

What are some of the reasons that cloud technology can?t replace traditional data recovery solutions?

Many technology pundits have overstated the benefits of cloud technology. They have argued that it virtually erases the risk of data loss, because data copies can be stored on the cloud. According to these experts, copies of these files are replicated across numerous servers, so the data won?t be lost if one or two servers are affected. Unfortunately, there are a few reasons that data loss concerns persist, despite the new advances in cloud computing. Here are some of the concerns. Some data can?t be risked on the cloud Some cloud storage options are considerably safer than others. However, all of them are at risk of a cybersecurity breach to some degree. This means that highly sensitive data must be stored on local disk drives. The problem is that these files are more vulnerable to data loss. It necessitates data recovery software in the event that something happens to one of those drives. Local data storage is necessary if cloud servers fail We tend to get overly confident in the reliability of new technology. Cloud computing is an excellent example. Many people store data on the cloud with the belief that there is no possibility it will fail. The unfortunate reality is that cloud servers can fail for a number of reasons. Multiple servers across the same network could be targeted by a malicious hacker or hostile state actor. They could all collectively be affected by malware or a failed update, which could have a drastically negative effect across all copies of a file. InfoWorld wrote a post on 10 of the biggest cloud failures of all time. These failures will persist for years to come. This means that organizations need to be able to store copies of their data locally as well. Of course, they need to consider the possibility that the data could be compromised on the local storage unit and the cloud server. In this case, the last resort will need to be using a data recovery tool to restore the local copy.

Big Data Drives Need for Data Restoration Technology

Data loss will continue to be a problem for years to come, despite the impressive advances in cloud technology. This illustrates the importance of multifaceted approaches to big data applications. There are two types of applications for using big data to prevent a data loss:

  • Hardware developers must address design flaws and vulnerabilities that increase the risks of data loss.
  • Big data is helping developers create more reliable top data recovery software

Data recovery tools are becoming more effective, primarily due to new artificial intelligence capabilities and data driven development processes. Here are some ways that data has improve the quality of data recovery technology and continues to be relevant in the age of cloud computing:

More Read

data analytics in sports industry

Here’s How Data Analytics In Sports Is Changing The Game

Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation
Optimizing Cost with DevOps on the Cloud
What Role Does Big Data Have on the Deep Web?
Use this Strategic Approach to Maximize Your Data’s Value
  • New data recovery technology uses predictive analytics to understand the factors that can lead to data loss. This helps them tweak their algorithms to recover data from a variety of different scenarios. According to NewGenApps, predictive analytics is the most important technology driving advances in data recovery software.
  • Artificial intelligence has helped these tools become better at understanding the sections of the disc that were affected. This helps them get a better understanding of disc fragmentation and properly restore data accordingly.
  • Machine learning algorithms are getting better at pursing together different bits of code to make sure that it is properly restructured and restored.

Artificial intelligence and big data will continue to play a very important role in the development of new data restoration technology.

AI-based Data recovery solutions are essential when cloud storage fails

As promising as developments in cloud computing have become, they have not eliminated the need for traditional data recovery technology. Artificial intelligence has created superior data recovery tools for instances when cloud technology is not reliable.

TAGGED: big data, cloud computing, cloud storage, data, data recovery, data recovery systems, recovering data, the cloud data recovery software
Annie Qureshi March 1, 2019
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
By Annie Qureshi
Follow:
Annie is a passionate writer and serial entrepreneur. She embraces ecommerce opportunities that go beyond profit, giving back to non-profits with a portion of the revenue she generates. She is significantly more productive when she has a cause that reaches beyond her pocketbook.

Follow us on Facebook

Latest News

big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data analytics in sports industry
Big Data

Here’s How Data Analytics In Sports Is Changing The Game

6 Min Read
cloud-centric companies using network relocation
Cloud Computing

Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation

5 Min Read
DevOps on cloud
Development

Optimizing Cost with DevOps on the Cloud

7 Min Read
big data technology has helped improve the state of both the deep web and dark web
Big Data

What Role Does Big Data Have on the Deep Web?

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?