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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.
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 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]
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.
If you love cars, and you watch a lot of YouTube, then you know Doug DeMuro. DeMuro has reviewed cars and written about the auto industry for some time now, but his real claim to fame stems from ...
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.
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and 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 ...