Systems | Development | Analytics | API | Testing

I have had the privilege of playing with and following the progress of Pipeline Designer for a while now. I am really excited about this new tool. If you haven’t seen it yet, then don’t delay and get your free trial now…..actually, maybe read this blog first ;-) Pipeline Designer is an incredibly intuitive, web-based, batch and stream processing integration tool.

Before going to the world of integration, machine learning, etc., I would like to discuss with all of you about a scenario many of you might experience when you live in a mega city. I lived in the London suburbs for almost 2 years (and it's a city quite close to my heart too), so let me use London as this story's background. When I moved to London, one question which came to my mind was whether I should buy a car or not. The public transport system in London is quite dense and amazing (Oh!!!

As an innovative company, Yellowfin is focused on delivering new products to market, not just incrementally improving what we have. If you're a software company looking to build your own innovation strategy, there are some things that you need to do, and a few you shouldn’t, to make sure you're successful. The first thing you shouldn’t do is look at your competitors. Many software companies have one great idea and then they stop.

Tideways history functionality is still mostly based on the features available 4 years ago, before we introduced Services and Environments, Downstream Layers and many others. Time for a redesign of the history to include support for all the features and data that are available now. By using the UI elements from the performance overview our we also introduce a familiar look and feel, where the previous history screen used its own widgets.

The main purpose of machine learning is to perform learning tasks on unseen data sets, having previously built up experience using training and testing data. Often those tasks can include looking for patterns and relationships between variables within the data.