Data Engineering Podcast
DECEMBER 9, 2018
Summary Apache Spark is a popular and widely used tool for a variety of data oriented projects. With the large array of capabilities, and the complexity of the underlying system, it can be difficult to understand how to get started using it. Jean George Perrin has been so impressed by the versatility of Spark that he is writing a book for data engineers to hit the ground running.
Uber Engineering
DECEMBER 10, 2018
Uber, like most large technology companies, relies extensively on metrics to effectively monitor its entire stack. From low-level system metrics, such as memory utilization of a host, to high-level business metrics, including the number of Uber Eats orders in a … The post The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data appeared first on Uber Engineering Blog.
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Cloudera
DECEMBER 14, 2018
Data may be the world’s most valuable resource , but the global big data talent shortage can hinder the ability of organizations to capitalize on that potential. Talent will be the key factor in linking innovation, competitiveness, and growth in the 21st century. Governments around the globe, grappling with high rates of unemployment, are eying programs to deliver big data skills training and certification to citizens that address both problematic unemployment and entice organizations to maintai
Netflix Tech
DECEMBER 14, 2018
In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these will serve as the necessary motivation for the architectural choices we made. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.
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.
Netflix Tech
DECEMBER 10, 2018
A Marketing Tech Campaign by Artem Shtatnov and Ravi Srinivas Ranganathan In an earlier blog post , we provided a high-level overview of some of the applications in the Marketing Technology team that we build to enable scale and intelligence in driving our global advertising, which reaches users on sites like The New York Times, Youtube, and thousands of others.
Netflix Tech
DECEMBER 13, 2018
by Joel Sole, Liwei Guo, Andrey Norkin, Mariana Afonso, Kyle Swanson, Anne Aaron “This is my advice to people: Learn how to cook, try new recipes, learn from your mistakes, be fearless, and above all have fun”? —?Julia Child (American chef, author, and television personality) At Netflix, we are continually refining the recipes we use to serve your favorite shows and movies at the best possible quality.
Cloudera
DECEMBER 12, 2018
Hi Greg, thank you for joining us today. I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. I was a student system administrator for the campus computing group and at that time they were migrating the campus phone book to a new tool, new to me, known as Oracle.
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