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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.

John Walter11/23/14
0 replies

The Best of the Week (Nov 14): IoT Zone

Make sure you didn't miss anything with this list of the Best of the Week in the IoT Zone (November 7 - November 14). This week includes a look at the WatchKit SDK, the effect of IoT on our lives, and the role of logging in the IoT.

Erich Styger11/22/14
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Engineering Joke of the Week: The Frog

A little engineering humor for your weekend...

Mark Needham11/22/14
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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:

Michael Sahota11/21/14
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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.

Allan Kelly11/21/14
3 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
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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.

Mike Cottmeyer11/21/14
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
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.

Lukas Eder11/21/14
4 replies

Don’t Migrate to MariaDB Just Yet. MySQL Is Back!

Now that I have your attention, I’d like to invite you to a critical review of where we’re at in the MySQL vs. MariaDB debate.

Rob J Hyndman11/20/14
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Seasonal Periods

The “fre­quency” is the num­ber of obser­va­tions per sea­son. This is the oppo­site of the def­i­n­i­tion of fre­quency in physics, or in Fourier analy­sis, where “period” is the length of the cycle, and “fre­quency” is the inverse of period. When using the ts() func­tion in R, the fol­low­ing choices should be used.

Francesca Krihely11/20/14
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MongoDB vs SQL: Day 1-2

This will be the first post in an ongoing series based on our popular webinar about the differences in building an application using SQL versus building the same application using MongoDB.

Maneesh Joshi11/20/14
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Top 5 Mobile APM Myths: Myths 1 & 2

There is a lot of confusion in the market today. So in this blog post, I’d like to dispel some key myths around mobile apps. And how, with the right mAPM tool, you can nail your mobile app experience — both interactivity-wise and performance-wise — and thereby win the market.

Gen Furukawa11/20/14
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Morpheus Lessons: Best Practices for Upgrading MySQL

Thinking about upgrading your MySQL database? When performing an upgrade, there are some factors you need to consider and some best practices that can be followed to help ensure the process goes as smoothly as possible.

Rick Delgado11/19/14
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Desktop-as-a-Service and BYOD: Two Growing Complementary Trends

BYOD and DaaS are both growing trends that are making bigger impacts in the business world with each passing year. One of the reasons both are growing at such a steady pace is how they work together so effectively.