Data Engineering Podcast

AUGUST 12, 2018

Summary The theory behind how a tool is supposed to work and the realities of putting it into practice are often at odds with each other. Learning the pitfalls and best practices from someone who has gained that knowledge the hard way can save you from wasted time and frustration. In this episode James Meickle discusses his recent experience building a new installation of Airflow.

PostgreSQL 100

PostgreSQL AWS Python Data Science 100

Uber Engineering

AUGUST 16, 2018

At Uber, we spend a considerable amount of resources making the driver sign-up experience as easy as possible. At Uber’s scale, even a one percent increase in the rate of sign-ups to first trips (the driver conversion rate) carries a … The post Maximizing Process Performance with Maze, Uber’s Funnel Visualization Platform appeared first on Uber Engineering Blog.

Process 110

Process Engineering Architecture Data 110

Zalando Engineering

AUGUST 15, 2018

How to choose a JavaScript framework? Developers are often biased about their technology choices. At the beginning of the year, I was about to start working on a new product and my team could choose any tech stack. I did not want to be one of these biased developers who chose the framework they liked. I wanted to make an informed and educated decision.

Scala 40

Scala Project Education Algorithm 40