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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.
Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian ), [ 2 ] to handle large scale data sets and database migrations . [ 3 ]
Adobe Analytics: Adobe Systems: Cookies via JavaScript 15 Negotiable Bing Webmaster Tools: Microsoft: Cookies via JavaScript N/A Free Analytics Suite: AT Internet: Mobile ID and Cookies Continuous Negotiable Data Workbench: Adobe Systems: Cookies via JavaScript 6.51 Negotiable Google Analytics: Google: Cookies via JavaScript N/A
Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]
Amazon.com is a leader in using behavioral analytics to recommend additional products that customers are likely to buy based on their previous purchasing patterns on the site. [5] Behavioral analytics is also used by Target to suggest products to customers in their retail stores, while political campaigns use it to determine how potential ...
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Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
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