Uber Engineering
SEPTEMBER 8, 2015
Like many startups, Uber began its journey with a monolithic architecture, built for a single offering in a single city. At the time, all of Uber was our UberBLACK option and our “world” was San Francisco. Having one codebase seemed … The post Service-Oriented Architecture: Scaling the Uber Engineering Codebase As We Grow appeared first on Uber Engineering Blog.
Zalando Engineering
SEPTEMBER 30, 2015
Since Zalando’s earliest days, members of our technology team have been able to use OpenVPN to work anywhere, anytime. Back then (the late 2000s), we had only a single (though state-of-the-art) instance to work with, and a lot of manual maintenance to perform. Last year, in light of a years-long period of explosive growth, our team realized that we needed to build something scalable, fully redundant, and easier-to-maintain for hundreds of users.
ProjectPro
SEPTEMBER 11, 2015
Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? To address each of these questions in detail, our counsellors work tirelessly to keep themselves updated with the industry news and provide the best advice to people regarding - who can learn Hadoop and the career prospects in Hadoop.
Zalando Engineering
SEPTEMBER 22, 2015
Pretend for a moment that you work in a dynamic, multinational ecommerce company, and that you are tasked with getting your +9,000 coworkers to think, support and believe in “Mobile First.” How, and where, do you begin? Zalando’s Mobile First team has been wrestling with this idea all year, and has come up with three key ingredients: A solid, easy-to-understand definition of what it means to be “Mobile First.
Advertisement
Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
ProjectPro
SEPTEMBER 3, 2015
The Hadoop online training session at ProjectPro is conducted through 42 hours of live webinar session where an industry expert explains all the tools in Hadoop in detail. HDFS, MapReduce, Hive and Pig are taught using hands on examples and projects. Hadoop admin tools like Oozie and Zookeeper are also covered to provide a comprehensive Hadoop developer training.
Zalando Engineering
SEPTEMBER 23, 2015
In mid-July, I joined Zalando’s engineering team in Dortmund as a Java engineer working on the Payments team. All Zalando new hires spend their first few weeks (usually four) being onboarded in Berlin. Pretty cool, right? But not so optimal if you and your girlfriend are expecting a baby at any moment, as was true in my case. As any new hire might be, I was a bit hesitant to tell my new team that I had to say “no” to something as crucial as onboarding.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Zalando Engineering
SEPTEMBER 20, 2015
There’s not much one can say in favor of big, monolithic enterprise applications. Not only does the typical monolith become an inextricable mess of interdependencies — it also hinders development teams from moving quickly when trying out new ideas. Yet the monolith does present one advantage: Its consolidation of data in a single place makes business intelligence fairly simple.
Zalando Engineering
SEPTEMBER 17, 2015
Recently I was lucky enough to spend a week working in Zalando’s gorgeous Fashion Insights Centre , located in Dublin’s Silicon Docks. If you’re not familiar with Dublin, the Silicon Docks are the beating heart of the city’s vibrant tech scene: Google, Facebook, Linkedin, Amazon, Twitter and many other international tech giants house their European headquarters there.
ProjectPro
SEPTEMBER 16, 2015
A lot of companies today are looking for Big Data solutions to maintain a competitive edge in the market. Industries are adopting Hadoop at a huge scale. The popularity of Hadoop is mainly because of its unique distributed computing system which stores and analyses data both structured and unstructured. Due to the fast adoption of Hadoop by the industries, a huge gap has been created in the demand and availability of qualified Hadoop developers.
Zalando Engineering
SEPTEMBER 9, 2015
Recently Zalando Database Engineer Jan Mußler stopped by our Fashion Insights Centre in Dublin to tell the DevOps Dublin crowd about ZMON : Zalando's open source monitoring solution. In late 2013, Zalando’s technology team maxed out on our Icinga/Nagios infrastructure both performance-wise but (especially) in terms of manageability. Taking advantage of our annual Hackweek—a weeklong event for Zalando technologists to build, play and experiment independently—Jan and other Zalando engineers built
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Zalando Engineering
SEPTEMBER 8, 2015
Since the April 2015 opening of Zalando’s Fashion Insights Centre at the Silicon Docks, Zalando’s tech team in Dublin has grown faster than we had anticipated. But our search for the best data science and software engineering talent remains in full-speed-ahead mode, which is why we’re proudly sponsoring this year’s Career Zoo : Ireland’s leading event for tech networking and hiring.
Zalando Engineering
SEPTEMBER 3, 2015
Ever wish you could build an Arduino or play with Legos on the job? If you’re a Zalando technologist, now you can! Recently we launched The Shuttle, a dedicated place for members of our tech team to stretch themselves creatively, let our imaginations run wild, and build things. Housed on the ground floor of our tech office in Berlin, the Shuttle is an initiative designed with our Radical Agility approach in mind- a dedicated place to enable group and individual innovation and ideation.
Zalando Engineering
SEPTEMBER 2, 2015
Working at Scale Our engineering teams enjoy end-to-end ownership of their work, which enables us to preserve our start-up spirit and ability to experiment in the face of explosive growth (+800 technologists and counting). They’re also responsible for all software provisioning and quality-related aspects — including design, implementation, code review, testing, continuous integration, and operation.
ProjectPro
SEPTEMBER 1, 2015
Table of Contents MapReduce vs. Pig vs. Hive - Comparison between the key tools of Hadoop Coding Approach Using Hadoop MapReduce Coding Approach Using Pig and Hive In Conclusion – MapReduce vs. Pig vs. Hive MapReduce vs. Pig vs. Hive - Comparison between the key tools of Hadoop Google’s CEO, Eric Schmidt said: “There were 5 exabytes of information created by the entire world between the dawn of civilization and 2003.
Advertisement
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Zalando Engineering
SEPTEMBER 1, 2015
This week the blog/e-newsletter Data Science Weekly released their list of the “Most Read Data Science Articles of 2015.” We were pretty excited to see that our very own Mikio Braun topped the list with his article, “Three Things About Data Science You Won’t Find In the Books.” Mikio joined Zalando in August 2015 as a Delivery Lead, Recommender Systems & Search.
Expert insights. Personalized for you.
81 
Let's personalize your content