What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani
The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analyti...
9 Syys 202134min
Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia
Note: This episode was recorded when Cluster Linking was in preview mode. It’s now generally available as part of the Confluent Q3 ‘21 release on August 17, 2021. Infrastructure needs to react in rea...
31 Elo 202131min
Using Apache Kafka and ksqlDB for Data Replication at Bolt
What does a ride-hailing app that offers micromobility and food delivery services have to do with data in motion? In this episode, Ruslan Gibaiev (Data Architect, Bolt) shares about Bolt’s road to ado...
26 Elo 202129min
Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank
Monolithic applications present challenges for organizations like Saxo Bank, including difficulties when it comes to transitioning to cloud, data efficiency, and performing data management in a regula...
19 Elo 202128min
Advanced Stream Processing with ksqlDB ft. Michael Drogalis
ksqlDB makes it easy to read, write, process, and transform data on Apache Kafka®, the de facto event streaming platform. With simple SQL syntax, pre-built connectors, and materialized views, ksqlDB’s...
11 Elo 202128min
Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour
Building a large, stateful Kafka Streams application that tracks the state of each outgoing email is crucial to marketing automation tools like Mailchimp. Joining us today in this episode, Mitch Seymo...
5 Elo 202131min
Collecting Data with a Custom SIEM System Built on Apache Kafka and Kafka Connect ft. Vitalii Rudenskyi
The best-informed business insights that support better decision-making begin with data collection, ahead of data processing and analytics. Enterprises nowadays are engulfed by data floods, with data ...
27 Heinä 202125min
Consistent, Complete Distributed Stream Processing ft. Guozhang Wang
Stream processing has become an important part of the big data landscape as a new programming paradigm to implement real-time data-driven applications. One of the biggest challenges for streaming syst...
22 Heinä 202129min
