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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.
Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem. It is compatible with most of the data processing frameworks in the Hadoop environment. It provides completeness to Hadoop's storage layer to enable fast analytics on fast data.
Andrew Yan-Tak Ng (Chinese: 吳恩達; born April 18, 1976 [2]) is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). [3]
Blog post by Tom White about Doug Cutting creating Hadoop Note that this post was written while Hadoop was still an unnamed spinoff of Nutch. Tom updates his earlier post with the Hadoop name here. Article co-authored by Doug Cutting in ACM Queue, 'Building Nutch: Open Source Search'
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2]
Mike Cafarella is a computer scientist specializing in database management systems.He is a principal research scientist of computer science at MIT Computer Science and Artificial Intelligence Laboratory. [1]
Originally a sub-project of Hadoop, [2] it became an Apache Software Foundation top level project in 2012. It was created by Edward J. Yoon, [ 3 ] who named it (short for "Hadoop Matrix Algebra"), [ 4 ] and Hama also means hippopotamus in Yoon's native Korean language (하마), [ 5 ] following the trend of naming Apache projects after animals ...