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Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]
NOAA Big Data Project: NOAA generates tens of terabytes of data a day from satellites, radars, ships, weather models, and other sources. While these data are publicly available, it is difficult to download and work with such high volumes. NOAA’s vast wealth of data therefore represents a substantial untapped economic opportunity.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
Machine learning, artificial intelligence, blockchains, predictive analytics – all amazing technologies which have promised to revolutionize business
A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files. A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [2] and transformed data used for tasks such as reporting, visualization, advanced analytics, and machine ...
Greenplum is a big data technology based on MPP architecture and the Postgres open source database technology. The technology was created by a company of the same name headquartered in San Mateo, California around 2005.
Big Data Scoring collects vast amounts of data from publicly available online sources and uses it to predict individuals’ behavior by applying proprietary data processing and scoring algorithms. Based on client feedback, their solution delivers an improvement of up to 25% in scoring accuracy when combined with traditional in-house methods.
StreamDM: StreamDM is an open source framework for big data stream mining that uses the Spark Streaming [12] extension of the core Spark API. One advantage of StreamDM in comparison to existing frameworks is that it directly benefits from the Spark Streaming API, which handles much of the complex problems of the underlying data sources, such as ...