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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.

  • Everything Is “Lock-In”: Focus on Switching Costs

    by Richard Seroter on  Jun 08, 2016

    Coding in Java, buying SAP, deploying OpenStack, and using Amazon Web Services: each one introduces a type of lock-in. However, it makes no difference how hard you try- some form of lock-in is unavoidable. What matters most is understanding the layers of lock-in, and how to assess and reduce your switching costs.

  • Martin Van Ryswyk on DataStax Enterprise Graph Database

    by Srini Penchikala on  May 17, 2016 1

    DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query language. InfoQ spoke with Martin Van Ryswyk about the new product.

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

Posted by Srini Penchikala 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.

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework

Posted by Artem Dmitriev on  Mar 29, 2016

Reveno is a powerful new, performant, JVM based lock-free transaction processing framework based on CQRS and event-sourcing patterns. In this article we develop a simple trading system using Reveno. 2

The Role of a Data Scientist in 2016

Posted by Ed Jones 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 Allen Wang 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

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

Diagnosing Common Database Performance Hotspots in our Java Code

Posted by Andreas Grabner Harald Zeitlhofer on  Feb 16, 2016

Java performance issues are often attributable to bad database access patterns. In this article a top performance field engineer demonstrates his patterns for diagnosing database related issues.

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. 2

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. 7

Using Redis as a Time Series Database: Why and How

Posted by Josiah Carlson on  Jan 02, 2016

In this article, Dr. Josiah Carlson, author of the book “Redis in Action”, explains how to use Redis and sorted sets with hashes for time series analysis. 3

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