Juttle can analyze data that is in any of several data stores. It has processors like reduce, sort, head, and tail that operate over a sequence of data points. For instance, head n emits the first n points it receives and drops the rest. reduce count() increments a counter for each data point and returns the total. The built-in implementations of these processors are written Continue reading…
I used to work at a data analysis startup called Jut. Jut s vision was to bring all your data together in a single environment. This enabled integrated analysis using our programming language, Juttle. It was challenging because there are many different types of data. Different data types require different models for optimal storage and querying. Continue reading "Orestes: a Time Series Database…
Note: Special guest post this week from Tomislav Capan and the good people at toptal.com. Enjoy! Introduction JavaScript’s rising popularity has brought with it a lot of changes, and the face of web development today is dramatically different. The things that we can do on the web nowadays with JavaScript running on the server, as Continue reading "Why would I use Node.js?" The post Why would I use…