英語 での Mass data の使用例とその 日本語 への翻訳
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Solving Mass Data Fragmentation.
This creates a phenomenon called mass data fragmentation.
Process mass data at low cost.
Specify the memory at run time(in the case of mass data processing).
Mass data fragmentation in the cloud.
Realizing the stability, reliability and high-speed mass data processing.
As discussed above, the mass data storage 160 also contains map data. .
Mass data fragmentation is becoming a problem everywhere, not just in healthcare.
Businesses need to tackle their mass data fragmentation issues and flip it on its head.
More than 92 million user accountinformation began selling as the third bullet in mass data leakage incident.
Wi-Fi users' web access records and tracking mass data are accumulated by Wi-Fi service providers.
By ensuring that search processing is always executed,it is recommended not to output all of the mass data.
Cohesity has issued aseries of global market studies concerning mass data fragmentation and its impact on IT.
Tackling mass data fragmentation requires a fundamental shift from how unstructured data was managed in the past.
More than 92 million user accountinformation began selling as the third bullet in mass data leakage incident.
For this purpose, we only use mass data that is utilized in an anonymized format and individual users cannot be identified.
Currently, interest among businesses is shifting toward the question of how this mass data can be put to use for management purposes.
This information is at risk as there is a market for hacking thesesecurity measures which puts businesses in danger of mass data leakage.
Advances in Internet of Things(IoT) technologies have made mass data available from various sensors installed in racing cars.
In practice, the commercial sector probably uses asymmetric algorithm for digital signatures and send the keys,but not for the mass data encryption.
Mass Data Fragmentation compared to another globally important issue. Alan Cohen, member of the Forbes Technology Council, discusses.
Cohesity addresses data sprawl challenges and helps firms make use of secondary data. Cohesity has taken the mass data fragmentation challenge head on…”.
MDPS In October 2003, MDPS(Mass Data Processing System) was installed as a massively data storage system which renews the tape library system.
The objective of this event is tobring together the research communities in high-performance computing(HPC), mass data processing(big data) and artificial intelligence, subjects that are highly dependent on each other.
Mass data fragmentation is the ever-growing proliferation of data- across different locations, silos, clouds, and management systems- that prevents organizations from fully utilizing its value.
For instance, Amazon's solution Snowball features 50TB or 80TB capacities, Microsoft Data Box offers a 100TB of capacity,and IBM Cloud Mass Data Migration service is providing 120TB of capacity.
Attendees will learn how they can leverage mass data, digital cameras, design models, and automated machine control to win more work and execute their next project more efficiently.
Bringing applications to the data, versus data to the applications, helps enterprises increase data intelligence andreduce infrastructure sprawl that contributes to the problem of data silos and mass data fragmentation.
Mass data fragmentation refers to the growing proliferation of data spread across a myriad of different locations, infrastructure silos, and management systems that prevents organizations from fully utilizing its value- including but not exclusive to public cloud environments.