scala

Scala Exchange 2015 is on! I will be updating this entry with summaries on the talks I attended. Typos a plenty, be warned, but I hope this proves useful to somebody while we wait for the videos to be made available. You can also read my summary of day one.

Scala Exchange 2015 is on! I will be updating this entry with summaries on the talks I attended. Typos a plenty, be warned, but I hope this proves useful to somebody while we wait for the videos to be made available. You can also read my summary of day two.

After hearing a lot about the benefits of using Emacs to code in Scala, I’ve decided to give it a go and also to document the steps to work with it, in case anyone else feels crazy enough to try this.

One of the things people love about Scala is the REPL. I have to be honest; I never paid too much attention to it as IntelliJ provides a handy Scala Worksheet. But it is time to fix this..

Heroku has announced beta support for Docker containers running in its platform. As I have some time in my hands, I’ve tried how well it integrates.

And Real-Time Analytics with Apache Storm it’s over. Kinda. But it has been a fun road to travel.

I just finished the second lesson of Real-Time Analytics with Apache Storm. At this stage I should be able to understand how Sprouts and Bolts interact, and to parse data from Twitter in real time.

And more work in the data science world. I’ve joined yet another Coursera class: Machine Learning. Yes, I might be overdoing it.

As part of my efforts to understand more of the data science world, I’ve joined another Coursera class: Mining Massive Datasets. First week done, how was it?

Marc Andreessen famously said that Why Software Is Eating the World. There is a lot of truth in this but if we think about it a bit more it feels that, nowadays, the way this is happening is via machine learning and analytics. These are the tools that can move personalization to the next level and, with it, changing the way services interact with customers.