Examples of using Centralized data in English and their translations into Vietnamese
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OneID also has no centralized data storage, making it extremely difficult for hackers to access confidential information.
A type of network where processing power anddata are spread over the nodes rather than having a centralized data centre.
Needless to say, having a centralized data storage system for all vehicle records gives room for manipulation for personal gains.
The growth in the use of digital content andthe collection of data is a challenge for the centralized data center model.
DBMS is probably most useful for providing centralized data view that can be accessed by many users, from multiple locations, in a controlled manner.
They show just-in-time views of what's working and what isn't-no need to wait for weekly or monthly reports from a centralized data center.
Major ad serving networks andexchanges operate with huge amounts of centralized data that can easily be traced back to the consumers' identities.
Centralized Data Storage and Shared Resources- With a network server, all of the people on the network can make use of various network resources right from their desks, which increases efficiency.
All data are stored in the internaldatabase with an option of exporting data to remote centralized data analysis and storage.
For software developers, this centralized data store solution is very easy to implement, so that could be one of the reasons why it was part of the original design.
The initial implementation of AVXIP's protocol was ambitious anda bit ahead of its time technically as there were challenges from security and centralized data points as well as difficulties with payment options.
While a centralized data base with enterprise data is a big target, it is easier to secure than data that is scattered across hundreds of servers in closets or under desks.
Transcend store Jet cloud features amazingly fasttransfer speeds of up to 110 MB/s and centralized data management, allowing for efficient storage and immediate access to all your data even if you're miles away.
In an October 2018 blog post, Gartner's Rob van der Meulen said that currently, around 10% of enterprise-generated data is created andprocessed outside a traditional centralized data center or cloud.
They knew that the massive centralized data centers that brought us search engines and social media lack the speed and efficiency to power autonomous vehicles and smarter communities.
With the rise of artificial intelligence and machine learning, it might become feasible to process enormous amounts of information very efficiently in one place, to take all the decisions in one place,and then centralized data processing will be more efficient than distributed data processing.
AVXChange uses the principles of blockchain/distributed ledger technologies to eliminate centralized data points, thus increasing security and transparency as all nodes on the network will reach consensus on data and events.
With a centralized data storage and communication channel for the entire team to brainstorm, discuss, get updates, and share files and other documents in, keeping everyone on the same page and keeping tabs of everyone's activities are made easier.
Transcend store Jet cloud features amazingly fasttransfer speeds of up to 110 MB/s and centralized data management, allowing for efficient storage and immediate access to all your data even if you're miles away.
As its office computer systems aged, Kyowa Chemical Industry decided to adopt Infor M3 Cloud because it packages together all the functionalities required for global sales, purchasing and inventory management,and enables centralized data management with a single system.
The data the robots collect would be fed into a centralized data center with law enforcement also able to access data in real time, giving them a unique vantage point to assess the situation before arrival.
If you nd these prospects alarming- if you dislike the idea of living in a digital dictatorship or some similarly degraded form of society- then the most important contribution you can make is to nd ways to prevent too much data from being concentrated in too few hands, and also nd ways to keep distributeddata processing more e cient than centralized data processing.
Because these are protocols and not centralized data silos, they can talk to one another, and this interoperability enables new use cases to emerge through the sharing of data and functionality from multiple protocols in a single application.
Unlike other existing P2P file sharing applications, the AVXChange platform will be adistributed system using blockchain to eliminate centralized data points, thus increasing security and transparency as all nodes on the network will reach consensus on data and events.
The aim is to develop a routing architecture and a centralized data scheme to minimize power consumption and transmits data to the base station centralized with the minimum latency while still balancing capacity of consumption among nodes in the network.
If you find these prospects alarming- if you dislike the idea of living in a digital dictatorship or some similarly degraded form of society- then the most important contribution you can make is to find ways to prevent too much data from being concentrated in too few hands, and also find ways to keepdistributed data processing more efficient than centralized data processing.
Unlike facebook ortwitter where all user information ultimately resides in centralized data centers and servers under control of the companies, applications on inrupt will compete for users based on the services they can offer, and only the users can grant these apps“views” into their data, .
Although the traditional centralized data set has been continuously innovated over the years to achieve data warehouse and load balancing, while Blockchain is still in its infancy and is not yet ready for the high speed of data processing we have got used to, the future trend is still in favor of distributed data storage.
As Rattenbury explains,“Themodern version is about taking that centralized data science team and flat-out splintering them- saying two of these data scientists are going to marketing, one to product design, one to sales… and they're going to be fully embedded in those teams.”.