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At Zalando AdTech Lab Hamburg, we develop techniques to predict the future behavior of consumers based on their interaction history on Zalando with the goal of delivering better consumer experiences. Recurrent neural networks (RNNs) , one of the major classes of deep learning methods, offer us two benefits: (1) By processing raw consumer histories, RNNs provide accurate prediction models without requiring tedious feature engineering efforts. (2) Furthermore, we can interpret their reasoning when
Hadoop certifications are recognized in the industry as a confident measure of capable and qualified big data experts. Career Counsellors at ProjectPro often receive at least one question a week relating to the specific topic of Hadoop certifications whether it is from prospects who want to learn hadoop or from students who are learning hadoop. Some of the commonly asked questions are - “Is hadoop certification worth the investment?
With users in 15 European countries, from the southwest of Spain to the northeast of Norway, we have to cater to a variety of shopping behaviours and needs. At Onsite Management, we strive to localise our international websites and apps to build an experience that our users can trust and relate to, culturally. Localisation spans an array of projects and processes, such as understanding the local users performing qualitative and quantitative research, or optimizing elements such as navigation or
News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Vertical analytic platform could access hadoop data before but with Vertica 8.0 the analytical engine can now directly work with data stored in hadoop without worrying about
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
At Zalando, we try to live a mentality of failing fast. The context here is not a failure of the person or the group involved, but rather a chance to learn from the mistakes that were made. If you fail fast, you are also able to right the wrongs much quicker. Failing fast can be a golden opportunity, and our team (Team Sokoban) tried to apply this mentality during the beginning of our stock rebuild.
As our work and investment in Data Science and AI continue to grow, we’ve added to our recent good news on the hiring front here at Zalando Tech. Now that he’s fully onboarded, we’d like to introduce Alex Rahin, our new VP of Data and Machine Learning Platforms. Alex joins us with extensive product experience from Amazon, Microsoft, Intel, and several technology startups.
Strange Loop has taken place every year since 2009 in St. Louis, Missouri (USA) and is highly considered among developers, covering a wide range of topics from programming languages, distributed systems, web development, functional programming, and socio-political implications of technology. I had the chance to attend this year's edition of Strange Loop and would like to share the highlights.
Strange Loop has taken place every year since 2009 in St. Louis, Missouri (USA) and is highly considered among developers, covering a wide range of topics from programming languages, distributed systems, web development, functional programming, and socio-political implications of technology. I had the chance to attend this year's edition of Strange Loop and would like to share the highlights.
In the past few months we’ve made a lot of progress reorganizing research and development in Zalando. We recently launched Zalando Research as a place where we can focus and conduct cutting edge research, as well as contribute actively to the research community in the areas of machine learning (ML), AI, natural language processing, and deep learning.
A great addition to our Zalando Techspert Series has just wrapped up, with this month’s theme focusing on scaling your business. We invited an extra panelist to mix it up, with Head of Data at GetYourGuide, Mathieu Bastian, joining the fun along with the Managing Director of Movinga, Finn Age Hänsel. We were also joined by the Director of International Markets from Delivery Hero, Tuomas Hurmerinta, and rounded up the panel with our VP of Brand Solutions, Christoph Lange.
This August I had a great time in Boston attending the AnDevCon Conference. As an Android Developer at Zalando, I found this conference a great resource of information, knowledge, and insight. I’d like to share my impressions and highlight some of notable talks I attended. Conference organization The venue for the event – the majestic Sheraton Boston Hotel – is a high class hotel and conference center with both surprisingly stable Wi-Fi and a convenient navigation plan.
5G technology is soon approaching. On the suppliers’ end, for Zalando and other companies, this will bring about faster responses and speedier service delivery. On the consumer's’ end, a wider range of products and services will be made available. Due to improved speeds and lower latency from 5G, processes can be expedited, for instance including payment verification and order identification, which means same day delivery of in-stock items becomes the norm in the 5G age. 5G is another step up in
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
We started our migration from “Jimmy”, our monolithic shop application, to microservices more than a year ago. We had lots of fun with this project from the beginning of it, with us, Team Spearheads, discussing potential ideas about what to do and how to do it, and then quickly “cowboy coding” some prototypes. Now that the project has become more mature, our challenges have changed from prototyping to optimizing for performance; from “cowboy coding” to providing stable components for other teams
Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” While we have answered the first question for our students through a series of blog posts on commonly asked Hadoop Interview Questions and tips for preparing a Hadoop resume.
In Germany, like in most other Western European Countries, the proportion of women studying computer sciences is about 10-20% – very low. Some of the main reasons are the bad reputation of programmers, still often tagged as “nerds”, the missing female role models in the tech scene, and the lack of a space to learn without pressure in a supportive environment amongst others in similar positions.
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