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  2. File:Log analysis using Splunk Hadoop Connect (IA ...

    en.wikipedia.org/wiki/File:Log_analysis_using_S...

    The purpose of this research it to use Splunk and Hadoop to do timestamp analysis on computer logs. Splunk is a commercial data analytics tool. Hadoop is a system for large-scale distributed storage and processing. This research ingested computer logs from two kinds of forensic data from the Real Data Corpus to establish a baseline and find ...

  3. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    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.

  4. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    Download as PDF; Printable version; ... oneAPI Data Analytics Library ... The library is designed for use popular data platforms including Hadoop, Spark, R, and ...

  5. Apache Impala - Wikipedia

    en.wikipedia.org/wiki/Apache_Impala

    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 ...

  6. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    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 ...

  7. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

  8. Cascading (software) - Wikipedia

    en.wikipedia.org/wiki/Cascading_(software)

    Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language (Java, JRuby, Clojure, etc.), hiding the underlying complexity of MapReduce jobs. It is open source and available under the Apache License.

  9. Apache Kudu - Wikipedia

    en.wikipedia.org/wiki/Apache_Kudu

    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]