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  • The Lean Machine: Bringing Agile Thinking to the Database

    by Matt Hilbert on  Aug 05, 2015 2

    For some years now, Agile practices have been attracting application developers with their promise of short iterations, fast releases, and software that gets out there sooner. Those same practices are now entering the database space, but how can database development teams adapt, and where should they start?

  • 7 Habits of Highly Effective Monitoring Infrastructures

    by Dave Josephsen on  Jul 20, 2015 1

    There is a right way and a wrong way to engineer effective telemetry systems and there is a finite combination of practices which — whatever your choice of individual tools — are predictive of success. 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.

  • 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

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.

NoSQL For Mere Mortals Review and Author Q&A

Posted by Sergio De Simone on  Jun 16, 2015

NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author.

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

Posted by Bongsug (Kevin) Chae on  Jun 13, 2015

In this article, based on a research study, author presents big data as service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets.

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.

DevOps is Not a Feature!

Posted by Nati Shalom on  May 24, 2015

DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools.

High Tech, High Sec.: Security Concerns in Graph Databases

Posted by George Hurlburt on  May 23, 2015

Graph NoSQL databases support data models with connected data. In this article, author discusses security implications of graph databases in use cases like graph discovery and knowledge management.

Full Stack Web Development Using Neo4j

Posted by Brian Underwood on  May 21, 2015

When building a web application there are lot of choices for the database. In this article, author discusses why Neo4j is a good choice if data model contains lot of connected data and relationships.

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

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