Data Engineering Podcast

FEBRUARY 18, 2018

Summary The responsibilities of a data scientist and a data engineer often overlap and occasionally come to cross purposes. Despite these challenges it is possible for the two roles to work together effectively and produce valuable business outcomes. In this episode Will McGinnis discusses the opinions that he has gained from experience on how data teams can play to their strengths to the benefit of all.

Data Science 100

Data Science Data Engineering Data Engineer Data Pipeline 100

Uber Engineering

FEBRUARY 22, 2018

In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone. As our … The post Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore appeared first on Uber Engineering Blog.

Coding 92

Coding Engineering Designing Architecture 92

Zalando Engineering

FEBRUARY 21, 2018

Why FOSDEM is not your average conference I could get cheeky with semantics and point out that the “M” in FOSDEM stands for “Meeting”. But I’ll play nice and focus instead on the specifics of the event itself. FOSDEM has been running since 2001. In that time, it has grown to become the open source community event for Europe. Over a two-day event, thousands of attendees descend upon the ULB in Brussels to attend what is, in reality, a collection of conferences.

Software Engineer 52

Software Engineer Software Engineering Database Engineering 52

Cloudera

FEBRUARY 19, 2018

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Government Hadoop 46

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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

Zalando Engineering

FEBRUARY 19, 2018

Multi-functional teams make for a greater customer journey When I started in Zalando Tech, I hadn’t worked with a product manager before, and I had probably never seen a UX designer, a UI designer, a researcher or a business developer before either. My world was data science, more specifically, personalization and recommender systems. In this isolated bubble, data scientists often thought we could solve all problems without help, but in the last two years, I came to understand why we need to sto

Designing 40

Designing Data Science Management Building 40