Maxime Beauchemin
AUGUST 28, 2017
This post follows up on The Rise of the Data Engineer , a recent post that was an attempt at defining data engineering and described how this new role relates to historical and modern roles in the data space. In this post, I want to expose the challenges and risks that cripple data engineers and enumerates the forces that work against this discipline as it goes through its adolescence.
Data Engineering Podcast
AUGUST 6, 2017
Summary Building a data pipeline that is reliable and flexible is a difficult task, especially when you have a small team. Astronomer is a platform that lets you skip straight to processing your valuable business data. Ry Walker, the CEO of Astronomer, explains how the company got started, how the platform works, and their commitment to open source.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Zalando Engineering
AUGUST 23, 2017
Some months ago I had the opportunity, with two fellow Zalandos, to organize the “Dortmund 5PM”; a gathering across all Dortmund teams, scheduled once a month on Fridays in our local event space. We want to foster further cross-team collaboration between individuals, making these meetings a memorable experience for all. We opted for running The Marshmallow Challenge ; a funny design exercise that encourages teams to experience simple yet profound lessons in collaboration, innovation, and creativ
Zalando Engineering
AUGUST 29, 2017
At Zalando, we have many teams working on their respective systems and domains where they operate like small startups. They take responsibility for these systems and have a feeling of ownership, constantly engaging with other teams to solve bigger challenges and enable new features. Sometimes during these alignments and feature requests, priorities collide and we can’t support others.
Advertisement
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
Zalando Engineering
AUGUST 15, 2017
As Zalando continues taking steps towards becoming a fully-fledged platform, we want to move fast, validate the ways that our big strategic moves pay off, and capture the full value of our products by continuous optimization. To this end, we wanted to ensure that we’re bringing data-informed decision making to the forefront of our processes by establishing a true data and experimentation culture that could ultimately become a competitive advantage in today’s fast-changing world.
Zalando Engineering
AUGUST 13, 2017
Almost two years ago, the Talent Acquisition Team (Technology) at Zalando began their work on Candidate Experience (CX) research. We were determined to learn our tech candidates’ needs and expectations, and identify the factors that influence their experience the most. This research allows us to identify how we can deliver a superb and meaningful candidate experience and thereby continue to strengthen our employer brand, securing a steady flow of strong candidates.
Expert insights. Personalized for you.
174 
Let's personalize your content