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  • Big Data as a Service, an Interview with Google's William Vambenepe

    by Chris Swan on  Jul 06, 2015

    Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as part of its Google Cloud Platform. InfoQ caught up with Google's William Vambenepe, who's lead product manager for Big Data services to ask him about the shift towards service based consumption.

  • The Promise of Healthcare Analytics

    by Seth Earley on  Jun 21, 2015

    Data analytics play a central role in the healthcare system by improving outcomes and quality of life while helping to control costs. In this article, author describes the role analytics can play with the emerging wearable technologies with biophysical interfaces, physiological sensors, and embedded diagnostic tools.

  • Big Data and IT-Enabled Services: Ecosystem and Coevolution?

    by Bongsug (Kevin) Chae on  Jun 13, 2015

    In this article, based on a research study, author presents big data as a service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets. Big data services emerge from combining diverse resources from an ecosystem of technologies, market needs, social actors, and other institutional contexts.

Analytics, Machine Learning, and the Internet of Things

Posted by Seth Earley on  Jun 07, 2015

In this article, author discusses evolving technologies like Machine Learning and IoT, how organizations can benefit from these new sources of information and intelligence.

Shaping Big Data Through Constraints Analysis

Posted by Carlos Bueno on  May 12, 2015

In this article, Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He also discusses details of two use cases, movie streaming and face recognition.

Big Data Processing with Apache Spark - Part 2: Spark SQL

Posted by Srini Penchikala on  Apr 16, 2015

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL. 1

Highly Distributed Computations Without Synchronization

Posted by Christopher Meiklejohn on  Feb 17, 2015

In this article, Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization. 1

Big Data Processing with Apache Spark – Part 1: Introduction

Posted by Srini Penchikala on  Jan 30, 2015

Apache Spark is an open source big data framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala discusses how Spark helps with big data processing. 3

Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov

Posted by Srini Penchikala on  Dec 03, 2014

GridGain announced that the In-Memory Data Fabric has been accepted into Apache Incubator program as Apache Ignite. InfoQ spoke with Nikita Ivanov about their product becoming part of Apache.

Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition”

Posted by Boris Lublinsky on  Nov 20, 2014

The new “Hadoop in Practice. 2 Edition" book by Alex Holmes covers a lot of topics building Hadoop code and organizing data to support code simplicity and execution speed.

Matt Schumpert on Datameer Smart Execution

Posted by Srini Penchikala on  Nov 13, 2014

Datameer, a big data analytics application for Hadoop, introduced Datameer 5.0 with Smart Execution to enhance the data analytics. InfoQ spoke with Matt Schumpert from Datameer about the new product.

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.

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