We live in the world of big data. We all know this. I do, you do, heck, I even picked up Cosmopolitan the other day and it had a definition of big data in it!
Alivia Smith
Recent Posts
Tips & Tools To Find the Best Data Science News
Data science is a world that doesn’t seem to ever stay put. In the blink of an eye dozens of open source projects are launched, companies develop new data products or find new use cases and...
How Do You Really Get Data Science Projects Into Production?
Articles everywhere keep hailing the end of big data and criticizing the hype. They are right, to some extent. The revolutionary world where data answers all our questions before we even ask them...
Why you Need DataOps to Organize Your Data Science Projects
The DevOps movement tries to reconcile development and operations departments to encourage them to develop IT projects together. Today, we need to make that same transition in data, by introducing...
Tragedy Strikes at Dataiku - the Cat Ate the Bird
The whole team is extremely saddened to announce the death of its mascot, our beloved blue bird, in a tragic accident involving local cat terror, Fluffy.
13 Tips to Not Win a Data Hackathon, Every Time
Hackathons are the coolest. Where else do you get to thrive amongst your peers in an intensely competitive environment, where you can have fun, build a useful product, learn, meet people, and get...
SQL, R, and Python: Why Data Wrangling in ONLY Code is Inefficient
So everyone knows the oh-so-popular statement that a data scientist spends 50 to 80% of his time cleaning and preparing his data before he even starts looking for insights in it. I mean everyone’s...
Telling Stories With Data Visualization by Matt Daniels from Polygraph
Before I had ever even heard about Dataiku and started really working around data, I remember reading this awesome article around March 2015 on the ranking of hip hop artists based on their...
A User Marketer Asks: Why Is Nobody Talking About User Marketing?
Everyone in the startup universe knows that everything they do should be centered on the user. So why isn’t "user marketing" a thing yet? Is it because no one is doing it?
Interview With Helena Edelson: Spark and Stream Processing
In the big data engineering world, Spark and stream processing are the words on everybody's lips these days. Here are a few words of wisdom by somebody why actually works with Spark everyday, the...
![Interview: How To Get Started in Data Science? [Part 2]](http://blog.dataiku.com/hubfs/Blog/data_science%202.jpg)
Interview: How To Get Started in Data Science? [Part 2]
Robert Dempsey is that cool, data-driven developer/marketer/explorer that everyone (or almost-everyone) wants to be. In part two of the talk I had with him in September, he had lots of words of...
Optimizing Data Preparation & Teamwork by Data Wrangler Robert Dempsey
I was lucky enough to talk to data fanatic and Dataiku fan Robert Dempsey in September. We discussed everything from his job, tools to help his team collaborate, data wrangling, marketing and...
Dataiku 2.1 - So Much More Than Spark
The latest version of Dataiku came out last week, and we were super excited about the integration of Spark! But Dataiku 2.1 has so much cool new stuff in it, I just had to tell you about all of...
![Olivier Grisel on Data Science for Beginners [Interview] [Part 2]](http://blog.dataiku.com/hubfs/Blog/ogrisel.jpg)
Olivier Grisel on Data Science for Beginners [Interview] [Part 2]
In the previous blogpost I wrote about sitting in on an interview of Olivier Grisel by our own Florian Douetteau a couple weeks ago. This is the second part of that interview where they discuss...
Big Data for Data Padawans Episode 4: Bringing Spark & Hadoop Together
This is it guys, the last episode of my quadrilogy on Spark for data padawans. For this last section, I've tried to sum up what having a technology like Spark in DSS brings to the mix. Tell me...
Big Data for Data Padawans Episode 3: the Epic Battle of Spark vs Hadoop
After learning about Hadoop and distributed data storage, and what exactly Spark is in the previous episodes, it's time to dig a little deaper to understand why even if Spark is great, it isn't...
Big Data for Data Padawans Episode 2: What's the Deal with Spark?
Spark is the talk at every data conference these days. But what's the big deal with it anyways? While glad you asked, I happen to have wondered that myself.
Big Data for Data Padawans Episode 1: What Exactly is Hadoop?
If you're like me and you work near data but don't have much technical background, you must have heard about Hadoop. Let's try and figure out what it is together.
Olivier Grisel on scikit-learn [Interview] [Part 1]
A couple of weeks ago I got the chance to sit in on an interview of Olivier Grisel (OG) by our own Florian Douetteau (FD). Olivier is one of the main contributors of the sckit-learn Machine...
From Dataiku DSS fan to the Marketing Team
This is the (epic) story behind how I found out about Dataiku, why I decided to join, and what my role in the company is going to be (hint: you and I are going to become buddies).
