I am a big fan of data-driven fitness. I've been using some sort of a fitness tracking ecosystem for almost five years. Nothing motivates me more than a correctly recorded workout.
I heard a joke from a friend, here is an adaptation: Three software engineers and three data scientist meet to take a train to go to a conference. Software engineers buy three tickets, data scientists only buy one for all three. “Don't worry,” they explain to the engineers, “We have a method.” On the train … Continue reading Do not apply data science methods without understanding them
In November last year I pointed out how tempted I was to replace Cassandra with DynamoDB. Since then I have done some research and things are not as straightforward as they may seem at first. I'd like to revisit my post and clarify a few things. On elasticity of Cassandra I said the following: Scaling … Continue reading Trying to Replace Cassandra with DynamoDB ? Not so fast
After using Cassandra for 3 years since version 0.8.5, I thought I'd put together a blurb on lessons learned. Here it goes! Use Cases What works Anything that involves high speed collection of data for analysis in the background or via batch. For example: Logging and data collection Web servers Mobile devices Internet of things … Continue reading Cassandra: Lessons Learned