Sat.Jan 14, 2017 - Fri.Jan 20, 2017

article thumbnail

The Rise of the Data Engineer

Maxime Beauchemin

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. I wasn’t promoted or assigned to this new role. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. The role we’d created for ourselves was a new discipline entirely. My team was at forefront of this transformation.

article thumbnail

Pachyderm with Daniel Whitenack - Episode 1

Data Engineering Podcast

Summary Do you wish that you could track the changes in your data the same way that you track the changes in your code? Pachyderm is a platform for building a data lake with a versioned file system. It also lets you use whatever languages you want to run your analysis with its container based task graph. This week Daniel Whitenack shares the story of how the project got started, how it works under the covers, and how you can get started using it today!

Data Lake 100
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Rule Over Your Angular2 State Machine

Zalando Engineering

It is really important to control your application state. Extremely important. The application state binds all of your functionality together, allowing us to do the awesome things we love about programming. Today I want to write about the Angular2-state-machine , which helps you handle your Angular 2 application state and, hopefully, makes your life as a developer much easier.

article thumbnail

About Akka Streams

Zalando Engineering

In many computer programs, the whole logic (or a vast part of it) is essentially the step-by-step processing of data. Of course, this includes the situation when we iterate over the data and just execute the processing logic on every piece of it. However, there are a couple of complications here: The processing logic may be quite complex, with various aggregations, merging, routing, error recoveries, etc.

Scala 52
article thumbnail

Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.