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Douglass Read Cutting is a software designer, advocate for, and creator of open-source search technology. He founded two technology projects, Lucene and Nutch, with Mike Cafarella. The Apache Software Foundation now manages both projects. Cutting and Cafarella were also co-founders of Apache Hadoop. [1]
Along with Doug Cutting, he is one of the original co-founders of the Hadoop and Nutch open-source projects. [ 2 ] [ 3 ] Cafarella was born in New York City but moved to Westwood, MA early in his childhood.
Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene is widely used as a standard foundation for production search applications. [2] [3] [4]
Nutch originated with Doug Cutting, creator of both Lucene and Hadoop, and Mike Cafarella.. In June, 2003, a successful 100-million-page demonstration system was developed. To meet the multi-machine processing needs of the crawl and index tasks, the Nutch project has also implemented the MapReduce project and a distributed file syste
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
[15] [24] This makes it possible for analysts to access data on Hadoop, and other databases and data warehouses, without IT having to move the data into another interface. [25] Alpine also moved its headquarters from San Mateo to San Francisco in November 2013, by which point the company had significantly expanded the functional breadth of its ...
Jon M. Chu counted himself a fan of “Wicked” long before he was hired to direct the big-budget movie adaptation of the popular Broadway musical.
The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.