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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. [3]
He served as the director of the Stanford Artificial Intelligence Laboratory (SAIL), where he taught students and undertook research related to data mining, big data, and machine learning. His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years.
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'
The company employed contributors to the open source software project Apache Hadoop. [5] The Hortonworks Data Platform (HDP) product, first released in June 2012, [6] included Apache Hadoop and was used for storing, processing, and analyzing large volumes of data. The platform was designed to deal with data from many sources and formats.
Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.
Its goal is to make self service data querying more widespread in organizations. The Hue team provides releases on its website. [3] Hue is also present in the Cloudera Data Platform and the Hadoop services of the cloud providers Amazon AWS, Google Cloud Platform, and Microsoft Azure.
Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software. Impala is promoted for analysts and data scientists to perform analytics on data stored in Hadoop via SQL or business intelligence tools. The result ...