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Stats Anomalies Detector

Posted by Yonatan Harel and Ran Levy on  Nov 07, 2014

The article describes the general outline of the Stats Anomalies Detector developed at MyHeritage and provides a detailed explanation of how to enhance the code to meet your company’s needs.

Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics

Posted by Alex Giamas on  Oct 27, 2014

"Analytics Across the Enterprise" book is a collection of experiences by analytics practitioners in IBM. InfoQ spoke with authors about lessons learned and IBM technologies in the Big Data area.

Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse

Posted by Kai Wähner on  Sep 10, 2014

This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), and what technologies and products you can choose from. 5

Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop

Posted by Srini Penchikala on  Sep 08, 2014

GridGain announced In-Memory Accelerator for Hadoop, offering benefits of in-memory computing to Hadoop applications. InfoQ spoke with Nikita Ivanov from GridGain about the product's architecture.

Introducing Spring XD, a Runtime Environment for Big Data Applications

Posted by Charles Humble on  Jul 23, 2014

Spring XD (eXtreme Data) is Pivotal’s Big Data play. It joins Spring Boot and Grails as part of the execution portion of the Spring IO platform. 1

MLConf NYC 2014 Highlights

Posted by Charles Menguy on  Apr 17, 2014

The MLConf conference was going strong in NYC on April 11th and was a full day packed with talks around Machine Learning and Big Data, featuring speakers from many prominent companies.

Lambda Architecture: Design Simpler, Resilient, Maintainable and Scalable Big Data Solutions

Posted by Daniel Jebaraj on  Mar 12, 2014

Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application. 7

Embedded Analytics and Statistics for Big Data

Posted by Panos Louridas and Christof Ebert on  Feb 23, 2014

This article provides an overview of tools and libraries available for embedded data analytics & statistics, both stand-alone software packages and programming languages with statistical capabilities.

Big Data Analytics for Security

Posted by Alvaro A. Cárdenas, Pratyusa K. Manadhata, Sreeranga P. Rajan on  Feb 11, 2014

In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to process data for security analysis.

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