InfoQ Homepage Infrastructure Content on InfoQ
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OpenStack in Action Review and Q&A with the Author
OpenStack in Action is a new release from Manning that aims to introduce readers to the OpenStack platform for cloud computing (IaaS). InfoQ has interviewed V. K. Cody Bumgardner, author of the book.
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The Holistic Approach: Preventing Software Disasters
Olivier Bonsignour on what "X-Raying" software means, how it can help prevent software disasters and why CIOs should care.
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The Role of a Data Scientist in 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.
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Unified Data Modeling for Relational and NoSQL Databases
Current enterprise data architectures include NoSQL databases co-existing with relational databases. However, NoSQL data management currently lacks mature methods and tools to manage NoSQL data. In this article, author discusses a solution for managing both NoSQL and relational databases using Unified Data Modeling techniques.
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Sourcing Security Superheroes: Part II: How Policy Can Enhance, Rather Than Hinder, Breach Detection
In theory, security policies put standards in place to protect organizations, stakeholders, and users. But in practice, security policy often becomes a distraction, forcing organizations to focus on satisfying the demands of a governing body or an auditor, rather than addressing real threats.
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Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile
Our physical world is about to become digitally enabled and according to various predictions for example by Gartner or Cisco, there will be many billions of IoT devices going online and constantly gathering data in the coming years. We got in touch with Wayne Carter and Ali LeClerc of Couchbase to discuss how Couchbase Mobile is also ready for the upcoming era of Internet of Things.
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Open Source as a Driver of Internet of Things
We have advanced from mainframes to workstations, to client-server, to grid computing, to cloud computing and the next step is the Internet of Things. Smart devices, active devices, all around the world are connected, generating huge amounts of data and reacting to commands from central or distributed authorities. And it seems that the ideas of open source now can be applied to hardware ...
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Big Data Processing with Apache Spark - Part 3: Spark Streaming
In this article, third installment of Apache Spark series, author Srini Penchikala discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application.
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No Starch Press' Python Playground Review and Q&A with the Author
No Starch Press’ Python Playground provides a fairly large and varied collection of projects that aim to show how Python can be used in such different contexts as creating ASCII art, birds simulation, interfacing to Raspberry Pi, and more. InfoQ has spoken to the book’s author, Mahesh Venkitachalam.
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Health Informatics and Survival Prediction of Cancer with Apache Spark Machine Learning Library
In this article, author discusses the survival prediction of colorectal cancer as a multi-class classification problem and how to solve that problem using the Apache Spark's MLlib Java API.
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Key Takeaway Points and Lessons Learned from QCon San Francisco 2015
This article summarizes the key takeaways and highlights from QCon San Francisco 2015 as blogged and tweeted by QCon's 1,300 attendees. Over the course of the next 4 months, InfoQ will be publishing most of the conference sessions online, including 10 video interviews that were recorded by the InfoQ editorial team.
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Data Lake-as-a-Service: Big Data Processing and Analytics in the Cloud
Data Lake-as-a-Service solutions provide big data processing in the cloud for faster business outcomes in a very cost effective way. InfoQ spoke with Lovan Chetty and Hannah Smalltree from Cazena team about how Data Lake as a Service works.