Data Engineering Podcast

MARCH 25, 2018

Summary The data that is used in financial markets is time oriented and multidimensional, which makes it difficult to manage in either relational or timeseries databases. To make this information more manageable the team at Alapaca built a new data store specifically for retrieving and analyzing data generated by trading markets. In this episode Hitoshi Harada, the CTO of Alapaca, and Christopher Ryan, their lead software engineer, explain their motivation for building MarketStore, how it operat

Management 100

Management Software Engineer Software Engineering Algorithm 100

Zalando Engineering

MARCH 28, 2018

Last week, at our new-format Zalando Hack Week , two important departments dropped their day-to-day tasks and embarked on what, for many of them, was their first ever hackathon. How did this come about? Zalando’s new Hack Week is a departure from the hackathons we have organised in the past, which typically only involved the tech department and happened once a year.

Programming 40

Programming Designing Project Technology 40

nodeSWAT

MARCH 27, 2018

Most of the webpages I’ve built run around the idea that people come, do their things and then go away. This process is repeated for every time they need the functionalities provided by the site, be it an investment platform, e-shop or some sort of an administration tool. But what if the users don’t leave, ever? What if they keep the page open 24/7, without refreshing, re-logging or re-entering the site.

Building 40

Building Coding Project Process 40

Zalando Engineering

MARCH 26, 2018

How former Zalando trainee, Anriika Kauppi, found her calling Fresh out of high school, Anriika Kauppi, 19, was interested in becoming a teacher, but instead of taking the scholastic route, she did a summer traineeship at Zalando’s Helsinki Tech Hub. With a family background in tech, Anriika wanted to see what the field had to offer as a career. A year and a half later, she has lived abroad for three months, completed another internship in the tech field, and applied to study engineering.

Banking 40

Banking Programming Technology Python 40

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence