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Mike Bushong10/16/14
2665 views
0 replies

On choice-supportive bias and the need for paranoid optimism

Companies are not blind because the individuals are not talented; they are blind because there are powerful psychological dynamics at play that keep us all from seeing that which we must see the most.

Kin Lane10/16/14
2692 views
2 replies

I Am Not Signing Any More NDAs

I just replied to a company who I really like, and trust, letting them know I won’t be signing any more NDAs. There are plenty of companies that I can exchange knowledge, research, data, and other vital information without signing NDAs.

Venkatesh Kris...10/16/14
4522 views
0 replies

If you are start-up, think beyond one user!

It's extraordinarily difficult to take a product that was built perfectly for a particular user and commercialize that into a broader market.

Alec Noller10/15/14
7315 views
1 replies

Dev of the Week: Ashwini Kuntamukkala

Every week here and in our newsletter, we feature a new developer/blogger from the DZone community to catch up and find out what he or she is working on now and what's coming next. This week we're talking to Ashwini Kuntamukkala, Software Architect at SciSpike, Inc.

John Walter10/15/14
9583 views
0 replies

The Best of DZone: Oct. 8 - Oct. 15

If you missed anything on DZone this week, now's your chance to catch up! This week's best include a tutorial for getting started building mobile apps with the Ionic framework, an editorial detailing how developers are integrating, an attempt at linear regression, and more.

Adam Diaz10/15/14
5638 views
0 replies

Hadoop and the mystery of the version number

When I’m working with people on Hadoop I ask what you would think is a simple question. What version of Hadoop are you using? In reality though it’s not as straight forward as you might think.

Peter Lawrey10/15/14
4808 views
0 replies

Kafka Benchmark on Chronicle Queue

I was recently asked to compare the performance of Kafka with Chronicle Queue. No two products are exactly alike, and performing a fair comparison is not easy. We can try to run similar tests and see what results we get.

Mikio Braun10/14/14
2875 views
0 replies

Parts But No Car

One question which pops up again and again when I talk about streamdrill is whether that cannot be done by X, where X is one of Hadoop, Spark, Go, or some other piece of Big Data infrastructure. The truth is that there’s a huge gap between “in principle” and “in reality”, and I’d like to spell this difference out in this post.

Mike Cottmeyer10/14/14
6127 views
0 replies

Teams 102

In this post, I want to go just a little deeper on the notion of teams and challenge some of the common thinking around agile and agile transformation.

Johanna Rothman10/14/14
5157 views
2 replies

Management Feedback: Are You Abrasive or Assertive?

We all need feedback. Managers need feedback, too. Because managers leverage the work of others, they need feedback even more than technical people.

Andrew Gilmartin10/13/14
4663 views
0 replies

An Observer pattern implementation and illiterate programming

The Observer pattern and an experiment in documenting Java code using "illiterate programming."

Pubudu Dissanayake10/13/14
2308 views
0 replies

How to draw a Control flow graph & Cyclometric complexity for a given procedure

Cyclomatic complexity is a software metric used to measure the complexity of a program. This metric measures independent paths through the program's source code.

Tim Murphy10/12/14
7113 views
4 replies

Teaching Old Dogs New Tricks

Old developers can easily get set in their ways especially if they work in one environment for a dozen years or more. So how do you overcome the “that is the way it has always been done” mentality that sets in?

Mike Cottmeyer10/11/14
6674 views
0 replies

Teams 101

The notion of forming complete cross functional teams is one of the most well understood concepts in the agile community but maybe one of the least implemented in practice.

Arthur Charpentier10/11/14
2750 views
0 replies

Cross Validation for Kernel Density Estimation

In a post published in July, I mentioned the so-called Goldilocks principle, in the context of kernel density estimation, and bandwidth selection. The bandwidth should not be too small (the variance would be too large) and it should not be too large (the bias would be too large).