Zalando Engineering

APRIL 11, 2017

With our Fleek app growing and new features being introduced, its compile times have started to become a real challenge. We recently discovered that to compile the app or just make a minor change it would take approximately 12 minutes. We wanted to cut this time dramatically to improve the customer experience overall, as well as our work overhead. In this article, I’ll show how we managed to decrease it to just 2 minutes.

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Coding Project Management Building 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop.

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Hadoop Big Data Coding Project 40

Zalando Engineering

APRIL 5, 2017

Zalando is active in 15 European markets. In addition to an array of other user testing activities, in 2016 we performed field research in France, UK, Italy, Switzerland and Germany to get a better understanding of the differences in consumer behavior and the local needs of our customers. We have experimented with different set-ups on how to conduct local interviews and after successfully organising 77 of them, we have the following advice to offer about planning field research in different coun

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Recruitment Transportation Consulting Systems 52

Zalando Engineering

APRIL 25, 2017

When I started working as a Producer , my new team let me know that they feel motivated when they have an 80-20 week: 80% programming and 20% learning. My challenge as a Producer is to help my team be organized well enough to focus on the right priorities, while limiting their daily interruptions. To get up to speed with the Producer role , I asked two of my fellow Producers, Sascha and Sophie, to talk about the methods and practices they use in their teams.

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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.

Data Science

Zalando Engineering

APRIL 17, 2017

It’s 2017 and mobile is mainstream. Last year, 59% of German customers shopped using their mobile device. The whole consumer experience has changed dramatically over the last decade. Where ten years ago, shoppers researched products online before purchasing in-store, these days consumers prefer a more holistic experience; one where researching, comparing, and buying are not fragmented pieces, but one convenient whole.

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Retail Big Data Media Algorithm 40

Zalando Engineering

APRIL 9, 2017

In terms of branding, Berlin does very well. It’s been known as a haven for gifted fugitives or creators – or both – since the roaring twenties, and while the city’s squat skyline remains low the ceiling for success is inordinately high. Berlin’s startup scene is a constant newsmaker , as its growth rockets and it’s inevitably compared to older tech hubs like London or Silicon Valley.

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Education Process Systems IT 40

Zalando Engineering

APRIL 12, 2017

In the current world, data is growing progressively, with larger or more complex computation problems needing to be solved. What should we do about solving problems that don’t fit on a single core CPU or can’t be solved in reasonable time? Parallel programming not only solves these problems but also reduces computation time. All computers are multi-core processors these days, even your iPhone 4s has two cores.

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Scala Algorithm Programming Big Data 40

Zalando Engineering

APRIL 18, 2017

For the Glitch team who looks after Quality Control at Zalando, the year 2017 started with a new resolution: Make our compile times faster. Toward the end of 2016, the Glitch team experienced a steady increase in compilation time on their project. In just one month, the compile time doubled and it was hard to understand why. This was clearly hampering the team’s productivity, and a number of strategies were attempted to reduce the long compile time.

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Scala Coding Project Java 40

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. The major force exerting pressure on Hadoop is cloud.With firms no longer showing interest in dangling with hadoop’s on-premise complexity, organizations are more keen on shifting their hadoop stacks to the public cloud.This implies that the revenue of hadoop vendors will see a drastic shift from on-pre

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