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Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. [2]
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
Machine-generated data. Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years, [1] there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data ...
Snowflake Inc. was founded in July 2012 in San Mateo, California by Benoît Dageville, Thierry Cruanes and Marcin Żukowski. Dageville and Cruanes previously worked as data architects at Oracle Corporation; Żukowski was a co-founder of Vectorwise. Mike Speiser, a venture capitalist at Sutter Hill Ventures, which provided early funding to the ...
Apache Hadoop ( / həˈduːp /) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. [vague] It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
ET data by YCharts. Energy Transfer gets almost 90% of its income from fee-based contracts, which means only about 10% of its earnings are exposed to the volatility in oil and gas prices.