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The ASTERIX effort has targeted a wide range of semi-structured information, ranging from “data” use cases-where information is well-typed and highly regular-to “content” use cases-where data tends to be irregular, much of each datum may be textual, and the ultimate schema for the various data types involved may be hard to anticipate up front.
![fast and furious 2 cars fast and furious 2 cars](https://www.newlyswissed.com/wp-content/uploads/2015/03/Asterix-in-Switzerland_feature4.jpg)
Current work is focused on hardening the system for use by others world-wide as well as on extending the system to support active as well as passive Big Data use cases.
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today’s Big Data platforms, e.g., Hadoop and friends)-in order to create a next-generation, open-source software platform that scales by running on large, shared-nothing commodity computing clusters. The original project set out to combine ideas from three distinct areas-semi-structured data, parallel databases, and data-intensive computing (a.k.a. Initiated in 2009, the NSF-sponsored ASTERIX project has been consistently focused on the development of new technologies for ingesting, storing, managing, indexing, querying, and analyzing vast quantities of semi-structured information. The resulting Apache AsterixDB code base includes over 250K lines of Java code that was co-developed at UC Irvine and UC Riverside, and its newest query language (SQL++) was developed at UC San Diego.
![fast and furious 2 cars fast and furious 2 cars](https://jewishmuseum.org.uk/wp-content/uploads/2018/05/Asterix_Exhibition_Jewish_Museum_London.jpg)
That open source data management platform was the result of about four years of initial R&D (2009-2013) involving researchers at UC Irvine, UC Riverside, and UC San Diego. Welcome to the home page of the ASTERIX Big Data management research project, the NSF-sponsored effort that led to the creation of the Apache AsterixDB Big Data Management System (BDMS).