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

    by Srini Penchikala on  Sep 08, 2014

    GridGain recently announced the In-Memory Accelerator for Hadoop, offering the benefits of in-memory computing to Hadoop based applications. It includes two components: an in-memory file system and a MapReduce implementation. InfoQ spoke with Nikita Ivanov, CTO of GridGain about the architecture of the product.

  • Introducing Spring XD, a Runtime Environment for Big Data Applications

    by Charles Humble on  Jul 23, 2014 1

    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. Whilst Spring XD makes use of a number of existing Spring projects it is a runtime environment rather than a library or framework, comprising a bin directory with servers that you start up and interact with via a shell.

  • MLConf NYC 2014 Highlights

    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.

Building Applications With Hadoop

Posted by Roopesh Shenoy on  Jan 30, 2014

How to use various tools such as Apache Avro, Apache Crunch, Cloudera ML and the Cloudera Development Kit to build applications that use Hadoop.

Interview with Raffi Krikorian on Twitter's Infrastructure

Posted by Xuefeng Ding on  Jan 19, 2014

Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure. 1

Building a Real-time, Personalized Recommendation System with Kiji

Posted by Jon Natkins on  Dec 26, 2013

Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.

Agility, Big Data, and Analytics

Posted by Ken Collier on  Nov 27, 2013

How do you bringing agility into big data? Learn what makes analytics uniquely different than application development, and how to adapt agile principles and practices to the nuances of analytics.

Costin Leau on Elasticsearch, BigData and Hadoop

Posted by Srini Penchikala on  Nov 15, 2013

Elasticsearch is an open source, distributed real-time search and analytics engine for the cloud. InfoQ spoke with Costin Leau about Elasticsearch and how it integrates with Hadoop and Big Data.

Building Scalable Applications in .NET: Introducing the FatDB Distributed Computing Platform

Posted by Justin Weiler on  Jul 22, 2013

Justin Weiler introduces FatDB, a NoSQL DB and a distributed platform built on Mission Oriented Architecture meant to abstract and generalize the essential characteristics of enterprise applications.

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