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.

Coding 111

Coding Aggregated Data Utilities Architecture 111

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.

MySQL 100

MySQL Scala Kafka Hadoop 100

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.

Engineering 75

Engineering Building Utilities Data 75

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.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

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Architecture

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.

Media 97

Media Database Metadata Data Schemas 97

Netflix Tech

DECEMBER 11, 2018

by Corey Grunewald & Matt Jaquish Since 2013, the user experience of playing videos on the Netflix website has changed very little. During this period, teams at Netflix have rolled out amazing video playback features , but the visual design and user controls of the playback UI have remained the same. The visual design and user controls of playback have been the same since 2013.

Designing 92

Designing Architecture Utilities Accessible 92

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

Big Data 40

Big Data Big Data Skills Relational Database Government 40