ProjectPro

AUGUST 9, 2016

After taking comprehensive hands-on hadoop training, the placement season is finally upon you. You applied for a Cognizant Hadoop Job interview and fortunately, were shortlisted. It is just the technical hadoop job interview that separates you from your big data career. At this step, the help that you can get from your hadoop developer resume is over and it’s up to you how you drive your hadoop developer interview and whether you get selected for the hadoop job.

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

Zalando Engineering

AUGUST 10, 2016

The newest tool sweeping through the React teams here at Zalando Tech is the classNames npm package. The concept is simple and deletes countless lines of unneeded code, on top of increasing readability. The first time I heard about this useful package was at an All Hands meeting, where tech teams can share what what they are doing with their product.

Coding 40

Coding Project Engineering Process 40

Zalando Engineering

AUGUST 9, 2016

As a User Researcher at Zalando Tech, one of my goals is to create a deeper understanding of human needs, behaviour, and decision making within the company. To create this empathetic mindset, it's crucial to master conversations with our respondents. This post isn’t merely about interviewing users. It focuses rather on five principles that I have learned in my years at Zalando as a User Researcher that can increase the inspiration and empathy in our daily conversations; with friends and family,

Building 40

Building Project IT Education 40

Zalando Engineering

AUGUST 8, 2016

Zalando Tech is growing, with our tech hubs spread throughout Europe: Besides our headquarters in Berlin, we’re in Dortmund , Dublin , and Helsinki , and have smaller Tech teams located in our fulfillment centers in Erfurt and Mönchengladbach. But did you know that we’re also in Hamburg? We’d like to introduce you to another member of the Zalando family: Zalando AdTech Lab Hamburg.

Scala 40

Scala Deep Learning Recruitment Machine Learning 40

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

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40