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The Promise of Healthcare Analytics

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.

Seth Earley
on Jun 21, 2015
Cloud

The Cloud Migration Checklist

Are you in the process of moving applications to a public cloud? You’re not alone. 451 Research says that 46% of 2015 IT budgets are going towards off-premises systems, with that number expected to climb to over 50% within the next three years. In this article, we’ll explore four stages in a cloud migration lifecycle and the questions to answer before exiting each one.

Richard Seroter
on Jun 18, 2015
Big Data and IT-Enabled Services: Ecosystem and Coevolution?

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.

Bongsug (Kevin) Chae
on Jun 13, 2015
Analytics, Machine Learning, and the Internet of Things

In this article, author discusses the evolving technologies like Machine Learning and Internet of Things and how to exploit them for data analytics. He also talks about how organizations can benefit from these new sources of information and intelligence embedded in their environments.

Seth Earley
on Jun 07, 2015
Flocker Tutorial: Migrating a Stateful Dockerized ElasticSearch-Logstash-Kibana Stack

Microservice architectures and container-based virtualization have taken the software development community by storm, but the issue of managing state within this technology is yet to be fully solved. This article provides a 'hands on' tutorial demonstrating how to achieve the benefits of containers for your stateful services like databases, using Flocker, an open source project from ClusterHQ.

Luke Marsden
on Jun 04, 2015
12 Quick Tips about Application Level Performance Testing and More

In an economy where apps have become the very heart and soul of almost any business, you have less than one second to impress your user. Because of this limited impression availability, application performance is essential to ensure the quality of your customer's digital experience and your user loyalty. This article offers twelve quick tips on how to test the performance of your mobile app.

Aviram Shotten Ayal Zylberman
on Jun 03, 2015
Q&A with Benjamin Wootton on DevOps Landscape in 2015

InfoQ talked with Benjamin Wootton, DevOps consultant, to get an update on his view of the DevOps landscape in 2015. Wootton shares his experience, low hanging fruit to kickstart DevOps transformations, how to leverage monitoring, cloud and containers. Also how the market is lacking engineers with the required attitude and skill set for DevOps.

Manuel Pais
on May 30, 2015
Mobile Apps Offline Support

Offline support for mobile applications can be thought of as the ability for the app to react gracefully to the lack of connectivity. The rather new context of mobile devices introduced problems such as presence or absence of a network connection or even high latency and low bandwidth. This article covers approaches to these problems in the field of mobile app development.

Gustavo Machado
on May 29, 2015
Using Experiments and Data to Innovate and Build Products Customers Actually Use

An interview with Jan Bosch, professor of software engineering and director of the Software Center at Chalmers University of Technology, about the benefits that companies can get from increasing delivery speed, the next steps that organisations can take after adopting Agile and DevOps, using experiments to innovate, practices for experimentation and how organisations can become more innovative.

Ben Linders
on May 28, 2015
DevOps is Not a Feature!

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. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.

Nati Shalom
on May 24, 2015
AI, ML & Data Engineering

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

Graph NoSQL databases support data models with connected data and relationships. In this article, author discusses the security implications of graph database technology. He talks about the privacy and security concerns in use cases like graph discovery, knowledge management, and prediction.

George Hurlburt
on May 23, 2015
Full Stack Web Development Using Neo4j

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

Brian Underwood
on May 21, 2015

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