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Robert Diana11/23/14
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Geek Reading November 19, 2014

These items are the fruits of those ideas, the items I deemed worthy from my daily reading. These items are a combination of tech business news, development news and programming tools and techniques.

Mark Needham11/23/14
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R: Refactoring to dplyr

I’ve been looking back over some of the early code I wrote using R before I knew about the dplyr library and thought it’d be an interesting exercise to refactor some of the snippets.

Maarten Ectors11/23/14
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IoT and Personal Health

I just saw Eric Dishman’s TED session on “Health care should be a team sport“. I love the idea of providing people with chronicle illness the means to be diagnosed and treated remotely and use big data to learn of a large group of patients with similar issues.

Erich Styger11/22/14
9083 views
1 replies

Engineering Joke of the Week: The Frog

A little engineering humor for your weekend...

Mark Needham11/22/14
6377 views
0 replies

R: dplyr - Group by field dynamically

A few months ago I wrote a blog explaining how to dynamically/programatically group a data frame by a field using dplyr but that approach has been deprecated in the latest version. It turns out the ‘group_by_’ function doesn’t want to receive a list of fields so let’s remove the call to list:

Mihir Punjabi11/22/14
2082 views
0 replies

De-Mystifying Software-Defined Storage

Software-defined Storage (SDS) is being spoken about everywhere these days and various definitions of SDS are floating! This write-up is an attempt to represent SDS in simple language!

Linda Gimmeson11/22/14
5231 views
0 replies

Big Data, The Cloud and Wearable Technology

Using big data, the cloud and wearable technology efficiently will be key to success for small businesses and enterprise level organizations. Discovering the full potential of big data, the cloud and wearable technology will come over time.

Matthew Casperson11/22/14
4880 views
0 replies

A XSS filter for Java EE web apps

This article demonstrates the use of a custom Servlet filter to aid in the detection and prevention of Cross Site Scripting (XSS).

Michael Sahota11/21/14
4207 views
0 replies

People over Process

Agile and Lean are a means to an end. Once we are clear what our goals are and our approach is consistent with what we truly value, then we may hope for success. We outline a fundamentally different approach for organizational change: one where valuing people is integral to building lasting success.

Phil Whelan11/21/14
6984 views
0 replies

Is Docker The Right Abstraction For PaaS?

Docker has been Stackato's container implementation for a year now, responsible for provisioning and managing the life-cycle of who knows how many Linux containers. The next question is how do we start exposing Docker features to end users, rather than having them as an unexposed implementation detail.

Allan Kelly11/21/14
11181 views
4 replies

Does Agile require cultural change?

I sit in Agile conferences and I hear people say “To really become Agile you need culture change.” And I agree with them. But…

Seth Proctor11/21/14
3974 views
0 replies

Why Automation Matters

Distributed systems are complicated, and operating one as it scales out is more so. This is why we're so passionate about the experience of using NuoDB and making that operational experience as simple as possible.

Arian Celina11/21/14
2231 views
0 replies

Web Services vs. SOA and Pretty URL vs. REST

In my opinion, implementing an SOA architecture and RESTful web services requires to have a clear understanding of these concepts, the constraints which come with them, and what is required to have such an architecture in place.

Mike Cottmeyer11/21/14
5517 views
0 replies

Replacing Backlog Grooming

Over the last few years, I’ve worked with numerous teams. One thing they all struggle with is backlog grooming. Over the last few years I have evolved my practice of backlog grooming.

Mark Needham11/21/14
5826 views
0 replies

R: Joining multiple data frames

I’ve been looking through the code from Martin Eastwood’s excellent talk ‘Predicting Football Using R‘ and was intrigued by the code which reshaped the data into that expected by glm. I really like dplyr’s pipelining function so I thought I’d try and translate Martin’s code to use that and other dplyr functions.