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Journal of Big Data is a scientific journal that publishes open-access original research on big data.Published by SpringerOpen since 2014, it examines data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing ...
A 2018 definition states "Big data is where parallel computing tools are needed to handle data", and notes, "This represents a distinct and clearly defined change in the computer science used, via parallel programming theories, and losses of some of the guarantees and capabilities made by Codd's relational model." [29]
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational requirements are deemed compute-intensive ...
Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...
CloudChain, a cloud-oriented blockchain system is designed to increase the layers of security. [36] Currently, global spending on cloud computing services has reached $706 billion and the International Data Corporation predicts it to reach $1.3 trillion by 2025. [37]
In 2010, the Institute of Electrical and Electronics Engineers sponsored two cloud computing–specific conferences: IEEE CLOUD and IEEE CloudCom.With the success of the two conferences, IEEE Senior Member and IEEE Computer Society past president Steve Diamond, began urging the organization to take an active role in the development of cloud computing standards.
Google Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data. Looker Studio turns data into dashboards and reports that can be read, shared, and customized. Google Cloud Dataprep is a data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis.
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