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Big Data Partnership, a professional services company based in London; Big Data Scoring, a cloud-based service that lets consumer lenders improve loan quality and acceptance rates through the use of big data; BigPanda, a technology company headquartered in Mountain View, California
Precisely Holdings, LLC, doing business as Precisely, is a software company specializing in data integrity tools, and also providing big data, high-speed sorting, ETL, data integration, data quality, data enrichment, and location intelligence offerings.
In June 2019, Logi Analytics acquired Zoomdata, an analytics platform for big data and live streaming data. [ 11 ] [ 12 ] The acquisition gives the company's clients access to Zoomdata’s streaming technology, which allows real-time visibility into data that is too big to move and data that changes frequently.
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.
Palantir Technologies Inc. is an American publicly traded company that specializes in software platforms [3] for big data analytics.Headquartered in Denver, Colorado, it was founded by Peter Thiel, [4] Stephen Cohen, Joe Lonsdale, [5] and Alex Karp in 2003.
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
Pentaho for Big Data: EE, CE: PDI plug-in: N/A: Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3]
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]