Data Engineering Podcast

NOVEMBER 14, 2017

Summary Buzzfeed needs to be able to understand how its users are interacting with the myriad articles, videos, etc. that they are posting. This lets them produce new content that will continue to be well-received. To surface the insights that they need to grow their business they need a robust data infrastructure to reliably capture all of those interactions.

Google Cloud 100

Google Cloud Data Ingestion Media AWS 100

Cloudera

NOVEMBER 15, 2017

What’s more terrifying, knowing that you just lost your identity or unknowingly being manipulated? While they both seem awful, they are the reality of the digital world that we live in, just look at the news. With countless articles discussing the recent Equifax hack where thousands of social security numbers were compromised to organizations like Facebook, Google, and Twitter coming forward with Russian accounts that were buying ads to influence US elections.

AWS 41

AWS Management Data 41

Zalando Engineering

NOVEMBER 15, 2017

Two brothers examine the pros and cons of UI testing Based on their different experiences in Partner Solutions and Zalando Media Solutions respectively, we speak to frontend developers, Vadym Kukhtin and Oleksandr Kukhtin about their opposing opinions on UI testing. The Case Against UI Testing - Vadym TL;DR It depends on preference, but I believe that UI testing isn’t required in every instance In my experience, it is a sisyphean task to force developers to write even basic Unit tests, nevermind

Media 40

Media Project Coding Process 40

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. On-demand compute. Support for Python, R, and Scala. Workflow automation, version control, and sharing. GPU acceleration for deep learning on demand. Now, with Release 1.2, CDSW is easier than ever to deploy and manage.

Data Science 40

Data Science Deep Learning Scala Hadoop 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

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. While many services will get some traction without meeting all three goals, they will also disappoint users and cause perpetual headaches for IT. At Cloudera, we see these undisputable attributes to be: Easy – Certainly no one goes out looking for a harder way to do their job.

Cloud 40

Cloud Big Data Metadata Machine Learning 40