The Dataiku Blog

Working on text-based datasets is a different world to dealing with numbers. Comparisons between words are much harder and it may be difficult to group or aggregate similar values. Let's find out...

As I’m involved in the startup ecosystem, I meet a lot of startups who work with data. Every week, people ask me the same question: “Is the volume of data I’m dealing with big enough to be called...

At Dataiku we work everyday to make data science more accessible to everyone with our Data Science Studio (DSS). Today, we are proud to announce the release of Data Science Studio V1.1 (Yuzu) , a...

Running predictive models is pretty easy in the Data Science Studio. In a few clicks, you have the ability to predict a variable from the data you have. Once you have tried, you will never see...

As a marketeer, I had quite a lot of experience using Excel but never really ran predictive models.Find out how I used the studio to predict survival from the sinking of the Titanic.

As Internet users, every day, we receive many offers for multiple products. Robots send them to us through various communication channels. How do advertisers choose which products to show and...

On April 2-3 took place the Hadoop Summmit Europe, a two-day event about the Apache Hadoop community, in Amsterdam. I gave a talk about “Semi-Supervised learning applied to understanding customer...

The third edition of Big Data Paris summit took place on April 1st and 2nd 2014. Big Data Paris is the major French event about the big data ecosystem. Many important companies and talented people...

Our regular readers are probably familiar with Kaggle and its machine learning contests. If you're new to Kaggle  you can read this article , "A Kaggle Data Science Competition Made Easy"  to get...

The term “data scientist” was coined in 2008 by two LinkedIn analysts to describe their work deriving business value from the masses of data being generated by their website. Since then, people...

The other day, I was talking to my friend who runs a personal e-commerce site selling speciality items. He wanted to understand how machine learning technologies could help him manage his site...

I had the chance to attend and speak at this year's Berlin Buzzwords conference last week, dedicated to the topics of search, scale and storage.

As I mentioned in my previous post, I also had a chance to talk about what we've been up to over here at Dataiku during my stay in Berlin:

• Dataiku Flow, the next-generation data pipeline...

At Dataiku, we use extensively search logs and associated navigation information for user behaviour analytics and relevance optimization. Most of our customers today use SOLR or ElasticSearch....

Note that this guide is quite old (it was written when Hive was at version 0.10) and might not apply as-is to recent Hive releases. Use at your own risk :)

Dataiku DSS provides deep integration...

Perhaps you know Kaggle and its slogan “making data science a sport”?

Kaggle is a cool platform for predictive modeling competitions where the best data scientists face each other, all trying to...

The previous post on my trip to Strata describes my first day there. You may want to read it here.

The next two days were focused on keynotes and presentations, as well as exhibitors products...

I've been lucky enough to travel to Santa Clara, California, and attend the Strata Conf event. I was there for two days and have plenty of insight and feedback on all the sessions over the course...

Graph analysis becomes a key component of data science. A lot of things can be modeled as graphs, but social networks are really one of the most obvious examples.

In this post, I am going to show how...

In the previous post, we learnt how to get data out of LinkedIn via its API. This task is quite technical but an entire component of every data science projects: accessing and manipulating data from...