Scaling a Mature Data Pipeline—Managing Overhead

Before delving into our specifics, I want to take a moment to discuss the technical stack backing our pipeline. Our platform uses a mixture of Spark and Hive jobs. Our core pipeline is primarily implemented in Scala. However, we leverage Spark SQL in certain contexts. We leverage YARN for job scheduling and resource management, and […]

Accelerating Uber’s Self-Driving Vehicle Development with Data

A key challenge faced by self-driving vehicles comes during interactions with pedestrians. In our development of self-driving vehicles, the Data Engineering and Data Science teams at Uber ATG (Advanced Technologies Group) contribute to the data processing and analysis that help make these interactions safe. Through data, we can learn the movement of cars and pedestrians […]

Scio 0.7: a deep dive

Large-scale data processing is a critical component of Spotify’s business model. It drives music recommendations, artist payouts based on stream counts, and insights about how users interact with Spotify. Every day we capture hundreds of terabytes of event data, in addition to database snapshots and derived datasets. It’s imperative that engineers who want to work […]

Matplotlib—Making data visualization interesting

Data visualization is a key step to understand the dataset and draw inferences from it. While one can always closely inspect the data row by row, cell by cell, it’s often a tedious task and does not highlight the big picture. Visuals on the other hand, define data in a form that is easy to […]

Druid @ Airbnb Data Platform

Airbnb serves millions of guests and hosts in our community. Every second, their activities on Airbnb.com, such as searching, booking, and messaging, generate a huge amount of data we anonymize and use to improve the community’s experience on our platform. The Data Platform Team at Airbnb strives to leverage this data to improve our customers’ […]

Scaling Time Series Data Storage—Part II

In January 2016 Netflix expanded worldwide, opening service to 130 additional countries and supporting 20 total languages. Later in 2016 the TV experience evolved to include video previews during the browsing experience. More members, more languages, and more video playbacks stretched the times series data storage architecture from part 1 close to its breaking point. […]