Artwork

Content provided by Data Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Decodable Streaming with Eric Sammer

44:58
 
Share
 

Manage episode 339957158 series 1437556
Content provided by Data Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing – the act of filtering, transforming, or analyzing the data inside the messages – is still an exercise left to the receiving microservice or datastore, a custom programming exercise likely repeated over and over within an application. Stream processing tools such as Apache Flink and ksqlDB have been around for half a decade, but their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS platform based on Flink, and using only SQL which frees up developers to focus on what matters most.

Eric Sammer is founder and CEO of Decodable and joins the show to discuss the potential of stream processing, its role in modern data platforms, and how it’s being used today.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Decodable Streaming with Eric Sammer appeared first on Software Engineering Daily.

  continue reading

231 episodes

Artwork
iconShare
 
Manage episode 339957158 series 1437556
Content provided by Data Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing – the act of filtering, transforming, or analyzing the data inside the messages – is still an exercise left to the receiving microservice or datastore, a custom programming exercise likely repeated over and over within an application. Stream processing tools such as Apache Flink and ksqlDB have been around for half a decade, but their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS platform based on Flink, and using only SQL which frees up developers to focus on what matters most.

Eric Sammer is founder and CEO of Decodable and joins the show to discuss the potential of stream processing, its role in modern data platforms, and how it’s being used today.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Decodable Streaming with Eric Sammer appeared first on Software Engineering Daily.

  continue reading

231 episodes

Tüm bölümler

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide