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Traffic Data Monitoring Using IoT, Kafka and Spark Streaming

Posted by on  Sep 28, 2016

Internet of Things (IoT) is an emerging technology. One of the areas of IoT is the connected vehicles. In this article, we'll use Spark and Kafka to analyse and process IoT connected vehicle's data. 4

Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines

Posted by on  Sep 24, 2016

In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines. 1

Spark GraphX in Action Book Review and Interview

Posted by on  Sep 12, 2016

InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.

Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

Posted by on  Aug 29, 2016

InfoQ interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline

Christine Doig on Data Science as a Team Discipline

Posted by on  Aug 26, 2016

Christine Doig spoke at OSCON Conference about data science as a team discipline and how to navigate data science Python ecosystem. InfoQ spoke with Christine about challenges of data science teams.

Big Data Analytics with Spark Book Review and Interview

Posted by on  Jun 23, 2016

Big Data Analytics with Spark, authored by Mohammed Guller, provides a practical guide for learning Apache Spark. InfoQ and the author discuss the book & development tools for big data applications.

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

Posted by on  May 15, 2016

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

The Role of a Data Scientist in 2016

Posted by on  Mar 27, 2016

Data Science has been getting lot of attention as organizations are starting to use data analytics to gain insights into their data. This article takes a closer look at Data Scientist role in 2016.

Unified Data Modeling for Relational and NoSQL Databases

Posted by on  Feb 28, 2016

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5

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