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Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing.It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorised and readily available via a web browser.
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
Azure Data Explorer is a fully-managed [1] big data analytics cloud platform [2] [3] and data-exploration service, [4] developed by Microsoft, [5] [6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).
Data journalism: publishers and journalists use big data tools to provide unique and innovative insights and infographics. Channel 4, the British public-service television broadcaster, is a leader in the field of big data and data analysis. [98]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Qlik's Associative Engine lets users do big data analytics, combining a number of data sources so that associations and connections can be formed across the data. [59] [60] The two main data analytics products, [61] [62] Qlik Sense (current cloud-based software) and QlikView (legacy on-premise product), serve different purposes running on the same engine.
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