Courier with Troy Goode
A gig economy application generates lots of notifications. There is SMS, mobile phone updates, emails, and native application updates. If you order a ride from Uber, you might receive a text message and a push notification at the same time. If an app overloads the user with notifications, the user might end up annoyed and
LinkedIn Kafka
This article is part 2 in a series about LinkedIn’s data journey. You can read the first part of LinkedIn’s data infrastructure here. It requires repeating that LinkedIn is a massive player in the software industry, in terms of the number of active users and website interactions. With a user base of over 675 million
Data Infrastructure Investing with Eric Anderson
In a modern data platform, distributed streaming systems are used to read data coming off of an application in real-time. There are a wide variety of streaming systems, including Kafka Streams, Apache Samza, Apache Flink, Spark
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry
Distributed stream processing frameworks are used to rapidly ingest and aggregate large volumes of incoming data. These frameworks often require the application developer to write imperative logic describing how that data should
LinkedIn Data Infrastructure
LinkedIn has become a staple for the modern professional, whether it’s used for searching for a new job, reading industry news, or keeping up with professional connections. As a rapidly growing platform that serves more than
Podcast Episodes
Courier with Troy Goode
A gig economy application generates lots of notifications. There is SMS, mobile phone updates, emails, and native application updates. If you order a ride from Uber, you might receive a text message and a push notification at...
Data Infrastructure Investing with Eric Anderson
In a modern data platform, distributed streaming systems are used to read data coming off of an application in real-time. There are a wide variety of streaming systems, including Kafka Streams, Apache Samza, Apache Flink, Spark...
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry
Distributed stream processing frameworks are used to rapidly ingest and aggregate large volumes of incoming data. These frameworks often require the application developer to write imperative logic describing how that data should...
Greatest Hits
WebAssembly with Brendan Eich
Brendan Eich created the first version of JavaScript in 10 days. Since then JavaScript has evolved, and Brendan has watched the growth of the web give rise to new and unexpected use cases. Today Brendan Eich is still pushing the web forward across the technology stack...
Popular
Business and Philosophy
Courier with Troy Goode
Rive: Animation Tooling with Guido and Luigi Rosso
John Deere: Farm Software with Ryan Bergman
Data
Data Infrastructure Investing with Eric Anderson
Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry
Great Expectations: Data Pipeline Testing with Abe Gong
Blockchain
