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Cloud computing infrastructure is a promising new technology and greatly accelerates the development of large scale data storage, processing and distribution.
These systems provide the ability of large scale data storage and effective data operations based on primary keys, but they do not efficiently support the range and k-Nearest Neighbor (kNN) queries on multi-dimensional datasets.
Of the technological drivers, specific technologies highlighted in the short term (2015 2017) are mobile internet, cloud technology, cheaper computing power, and large scale data storage ("Big Data").
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At the tender age of 28, Emily, the M.I.T. graduate, is the chief executive of Veritech, a start-up company built around (appropriately enough) a "new paradigm for large-scale data storage and retrieval".
Dheeraj knows a thing or two about building large-scale data storage systems.
There is also a data security service that guards against DDoS attacks — YunDun — while Aliyun will provide large-scale data storage in the future.
There is also a data security service that guards against DDoS attacks — YunDun — while Aliyun will provide large-scale data storage in the future.
The so-called generic data services (GDS) are one part of the storage system and are designed as a file system-independent interface for high-performance data access and are used as an interface to the large-scale data storage and for data retrieval.
These massive sequencing datasets demand high-performance computational resources, rapid data transfer, large-scale data storage, and competent data analysts.
Although many of them are carefully designed to achieve maximum computational performance in simulation, they significantly fall short on storage and handling of the large scale data output.
The volume is the primary characteristic of big data that is represented by the acquisition of storage spaces in large-scale data centers and storage area networks.
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