The Dataiku Blog

3 Concrete Ways to Remove Barriers and Unlock a Company-Wide Data Culture

In today’s landscape, thanks partially to the changing sentiments from executives but also to the need to keep up with competition, everyone across an organization - no matter what team (s)he’s a...

marketing, business, collaboration | June 13, 2017 | Lynn Heidmann

How Cutting-Edge Media Organizations Leverage Advanced Analytics

When it comes to industries best poised for big changes with the big data wave, content providers - including all types of news media - have a lot to gain and a relatively straightforward path to...

marketing, business, media | June 02, 2017 | Lynn Heidmann

Hadoop Security Basics (In Under 5 Minutes)

With data and analytics teams growing larger and working on more collaborative projects, security and governance are becoming bigger issues. 

Hadoop, Technology, Data Engineering | May 25, 2017 | Robert Kelley

Your Checklist to Get Data Science Implemented in Production

Building a data science project and training a model is only the first step. Getting that model to run in the production environment is where companies often fail.

Production, Data Engineering, Infographic | May 23, 2017 | Alivia Smith

Incorporating Twitter (And Other Social) Data into Your Big Data Strategy

Data from social networks, particularly Twitter, Facebook, LinkedIn, Instagram, Foursquare, and Meetup, is a trove of valuable insight into the mentality, behaviors, and preferences of consumers....

Data Visualization, Data Preparation, Data analysis | May 22, 2017 | Lynn Heidmann

GDPR: Challenges and Strategies for Compliance

Chances are you’ve already seen quite a bit of buzz surrounding the EU General Data Protection Regulation (GDPR), especially given that we’re just about one year away from the enforcement date...

business, compliance, data governance | May 19, 2017 | Lynn Heidmann

Doing Data Science with Dataiku and Vertica

Many Dataiku customers use Vertica, the powerful SQL database management software, as the engine on which to run Dataiku. This makes sense, because not only is it easy to get started with Dataiku...

data science, SQL, Vertica | May 10, 2017 | Robert Kelley

You Need Open Source Technologies, but They're Not Easy

The open source software movement didn’t start with data science solutions, but it sure has carried forward many of the biggest advancements in data science in the past decade or so. Starting with...

Hadoop, Product, Technology | May 05, 2017 | Robert Kelley

The Evolution of the Dataiku Learn Portal

In many ways, companies today approach their product help sections the same way they approach data strategy: we’ll just stick it over here in this place, we’ll keep adding lots of stuff to it, and...

Product, Corporate, announcement | April 27, 2017 | Lynn Heidmann

Data Science Tools: What and Why?

Most companies wouldn’t consider running their business without providing a customer relationship manager (CRM) for their sales and support teams, a recruiting tool for human resources teams, or a...

organization, business, collaboration | April 26, 2017 | Lynn Heidmann

Unleash Your Data Team

At Dataiku, we truly believe that businesses will need to be data-driven to survive, and our vision is to enable companies of any size to build and deliver their own data products more...

organization, business, collaboration | April 25, 2017 | Vincent de Stoecklin

How To Become A Large-Scale Data Innovator

Today, almost all companies in a wide range of industries call themselves data driven. After all, not being data driven in this day and age is hardly an option - those that don’t embrace it are...

data science, business, scale | April 21, 2017 | Lynn Heidmann

Finding the Best Airbnb in Paris (With Data Science!)

At Dataiku, we’re passionate about using data science to solve real-world problems. And what’s more real than the question of which Airbnb to rent for your next vacation? In this guest post, one...

Data Visualization, tutorial, Data analysis | April 19, 2017 | Lynn Heidmann

Why You Should Use Kafka Even Though You Might Not Need It (Yet)

You’ve probably heard quite a bit about Apache Kafka, the leading system for storing streaming data that LinkedIn open sourced back in 2011. Apache Kafka is an extremely powerful and scalable...

data science, predictive analytics, architecture | April 18, 2017 | Robert Kelley

Using US Census Data to Predict Housing Prices

The United States Census Bureau (USCB) has been surveying the U.S. population -- including its massive, decennial population census -- since 1903, and the sheer volume and quality of the data they...

Product, data science, plugins | April 10, 2017 | Nicolas Gakrelidz

Scale Your Data Science Projects with Dataiku and Microsoft HDInsight

We are pleased to announce that we have partnered with Microsoft to offer Dataiku as a third-party application on HDInsight, the managed Hadoop and Spark services running on top of the Azure cloud.

Partnership, announcement, hdinsight | April 05, 2017 | Thomas Cabrol

Introducing Dataiku 4.0.1 with the "Power" of Apache Slug

We are very pleased to announce that the latest version of Dataiku (4.0.1) now fully sports Apache Slug, giving users the capability to execute code in microbatches. Dataiku and Apache Slug...

Product, announcement, Apache Slug, April Fool Joke | April 01, 2017 | Alivia Smith
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