August, 2017

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The Downfall of the Data Engineer

Maxime Beauchemin

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.

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Astronomer with Ry Walker - Episode 6

Data Engineering Podcast

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.

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Spaghetti and Marshmallows at Zalando: An Exercise to Inspire Deep Learning

Zalando Engineering

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

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InnerSource Do’s and Don’ts out of Dortmund

Zalando Engineering

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.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Data For All: An Introduction to Product Analytics at Zalando

Zalando Engineering

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.

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How Tech Candidate Feedback Helped Improve our Candidate Net Promoter Score

Zalando Engineering

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.