Dataiku isn’t easy to pronounce but it certainly manages to break the ice.
Dataiku "Shiso" Release and Community Edition
We are very proud to announce today the release of Dataiku Data Science Studio (DSS) V 1.2, codenamed Shiso. With this release, we now offer a free version: Data Science Studio Community Edition !
Join Datasets with Approximate String Matching: Movie Titles
When working with text values provided by real users, you must deal with various approximations or typing errors. Let's have a look at how Data Science Studio makes dealing with a list of...
How do Social Media Publishing Optimization Tools Work ?
Marketers and community managers who work with social networks are often tempted to use social publishing optimization tools. Yet, the recipe behind such tools is often obscure for non-data...
Easy Text Clustering
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...
When is ‘Big Data’ Really ‘Big’?
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...
Dataiku Data Science Studio (DSS) v. 1.1 Brings More Collaboration
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...
Part 2 of My Non Sinking (or How I Ran My First Predictive Model)
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...
A Marketing Guy's First Steps in Data Science With the Titanic Kaggle
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.
Recommendation Engine: There Is No Silver Bullet
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...
Dataiku at the Hadoop Summit
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...
Coming Back from Big Data Paris
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...
Winning Kaggle: An introduction to Re-Ranking
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...
Beyond the Hype: the 6 Core Skills of a Good Data Scientist
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...
Machine Learning for Merchandising
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...
Dataiku at Berlin Buzzwords 2013, Part 1
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.
Berlin Buzzwords Part 2: Introducing Dataiku Flow and dctc
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...
The New Search : Fuzzy, Instantaneous, and Local
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....
A Complete Guide to Writing Hive UDF
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...
Kaggle Contest: Blue Book For Bulldozers
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...
