How to use Data Contracts for Long-Term Schema Management

How to use Data Contracts for Long-Term Schema Management

Have you ever struggled with managing data long term, especially as the schema changes over time? In order to manage and leverage data across an organization, it’s essential to have well-defined guidelines and standards in place around data quality, enforcement, and data transfer. To get started, Abraham Leal (Customer Success Technical Architect, Confluent) suggests that organizations associate their Apache Kafka® data with a data contract (schema). A data contract is an agreement between a ...

Episoder(288)

Change Data Capture with Debezium ft. Gunnar Morling

Change Data Capture with Debezium ft. Gunnar Morling

Friends don’t let friends do dual writes! Gunnar Morling (Software Engineer, Red Hat) joins us on the podcast to share a little bit about what Debezium is, how it works, and which databases it support...

10 Jul 201949min

Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

Ever wonder what it’s like to be a distributed systems engineer at Confluent? Core Kafka Engineer Jason Gustafson dives into the challenges of working on distributed systems, particularly when it come...

2 Jul 201945min

Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

Tim Berglund (Senior Director of Developer Experience, Confluent) explains what’s new in Apache Kafka® 2.3 and highlights some of the most important Kafka Improvement Proposals (KIPs). EPISODE LINKS ...

25 Jun 201913min

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

If you operate a Kafka cluster, hopefully you upgrade your brokers occasionally. Each release of Apache Kafka® includes detailed documentation that describes a tested procedure for doing a rolling upg...

25 Jun 201942min

Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

Mitch Henderson (Technical Account Manager, Confluent) explains how to plan and deploy your first application running on Confluent Platform. He covers critical factors to consider, like the tools and ...

18 Jun 201932min

Why Kafka Connect? ft. Robin Moffatt

Why Kafka Connect? ft. Robin Moffatt

In this episode, Tim talks to Robin Moffatt about what Kafka Connect is and why you should almost certainly use it if you're working with Apache Kafka®️. Whether you're building database offload pipel...

12 Jun 201946min

Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

Tim Berglund and Magesh Nandakumar (Software Engineer, Confluent) discuss why schemas matter for building systems on Apache Kafka®, and how Confluent Schema Registry helps with the problem. They talk ...

3 Jun 201941min

Why is Stream Processing Hard? ft. Michael Drogalis

Why is Stream Processing Hard? ft. Michael Drogalis

Tim Berglund and Michael Drogalis (Product Lead for Kafka Streams and KSQL, Confluent) talk about all things stream processing: why it’s complex, how it's evolved, and what’s on the horizon to make it...

29 Mai 201945min

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