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  • Big Data Analytics with Spark Book Review and Interview

    by Srini Penchikala on  Jun 23, 2016

    Big Data Analytics with Spark book, authored by Mohammed Guller, provides a practical guide for learning Apache Spark framework for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. InfoQ spoke with author about the book & development tools for big data applications.

  • Big Data Processing with Apache Spark - Part 4: Spark Machine Learning

    by Srini Penchikala on  May 15, 2016

    In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concepts and Spark MLlib library for running predictive analytics using a sample application.

  • The Role of a Data Scientist in 2016

    by Ed Jones on  Mar 27, 2016

    Data Scientist role has been getting lot of attention lately as organizations are starting to use big data processing and analytics techniques to gain insights into their data. This post takes a closer look at the role of a Data Scientist in 2016.

Spark in Action Book Review & Interview

Posted by Srini Penchikala on  Mar 18, 2016

In Spark in Action book, authors Petar and Marko discuss Apache Spark for data processing batch & streaming data. InfoQ spoke with them about Spark framework, developer tools, and upcoming features.

Lana Gibson on Using Analytics to Influence Content Design

Posted by Shane Hastie on  Feb 28, 2016

Lana Gibson gave a talk at the AgileNZ conference on using analytics data to design web content, based on her experiences as Content Performance Lead working on the GOV.UK whole of government website

Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile

Posted by Ralph Winzinger on  Jan 20, 2016

Our physical world is about to become digitally enabled and according to various predictions, there will be many billions of IoT devices going online and collecting data in the coming years. 1

Big Data Processing with Apache Spark - Part 3: Spark Streaming

Posted by Srini Penchikala on  Jan 07, 2016

In this article, third installment of Apache Spark series, author discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application. 3

7 Habits of Highly Effective Monitoring Infrastructures

Posted by Dave Josephsen on  Jul 20, 2015

If you are building or designing your next monitoring system, take a look at this short list of habits exhibited by the most successful monitoring systems in the world today. 1

The Promise of Healthcare Analytics

Posted by Seth Earley on  Jun 21, 2015

In this article, author describes the role of data analytics in healthcare space with emerging wearable technologies like biophysical interfaces, physiological sensors and embedded diagnostic tools.

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.

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.

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.

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