• The Promise of Healthcare Analytics

    by Seth Earley on  Jun 21, 2015

    Data analytics play a central role in the healthcare system by improving outcomes and quality of life while helping to control costs. In this article, author describes the role analytics can play with the emerging wearable technologies with biophysical interfaces, physiological sensors, and embedded diagnostic tools.

  • NoSQL For Mere Mortals Review and Author Q&A

    by Sergio De Simone on  Jun 16, 2015

    Addison-Wesley Professional NoSQL for Mere Mortals provides an introduction to NoSQL databases spanning across the major types of databases that fall under the NoSQL umbrella and explaining both advantages and shortcomings that each database type offers. InfoQ has spoken with the book's author, Dan Sullivan.

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

    by Bongsug (Kevin) Chae on  Jun 13, 2015

    In this article, based on a research study, author presents big data as a service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets. Big data services emerge from combining diverse resources from an ecosystem of technologies, market needs, social actors, and other institutional contexts.

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

Metadata-Driven Design: Designing a Flexible Engine for API Data Retrieval

Posted by Aaron Kendall on  Apr 13, 2015

Bulk data is usually accessed via files & FTP. As collaboration migrates to APIs, what are the requirements for data APIs? Here we describe a meta-data driven architecture for bulk data ingestion.

Highly Distributed Computations Without Synchronization

Posted by Christopher Meiklejohn on  Feb 17, 2015

In this article, Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization. 1

Big Data Processing with Apache Spark – Part 1: Introduction

Posted by Srini Penchikala on  Jan 30, 2015

Apache Spark is an open source big data framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala discusses how Spark helps with big data processing. 3

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