If Streaming Is the Answer, Why Are We Still Doing Batch?

If Streaming Is the Answer, Why Are We Still Doing Batch?

Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch processing is still simpler to implement than stream processing, and successfully moving from batch to streaming requires a significant change to a team’s habits and processes, as well as a meaningful upfront investment. Some are even running dbt in micro batches to simulate an effect similar to st...

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Confluent Platform 5.3 | What's New in This Release

Confluent Platform 5.3 | What's New in This Release

A quick summary of the most important features in Confluent Platform 5.3. We discuss improved Kubernetes and Ansible support, improvements to Confluent Control Center that give you better insight into...

31 Heinä 201913min

How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

Zenreach is a company that makes tools to help retailers use digital marketing more effectively. If that sounds like a problem that only marketing people would be interested in, that’s because you don...

29 Heinä 201931min

Ask Confluent #14: In Control of Kafka with Dan Norwood

Ask Confluent #14: In Control of Kafka with Dan Norwood

Is Apache Kafka® actually a database? Can you install Confluent Control Center on Google Cloud Platform (GCP)? All this, plus some tips from Dan Norwood, the first user of Kafka Streams. EPISODE LINK...

22 Heinä 201923min

Kafka in Action with Dylan Scott

Kafka in Action with Dylan Scott

Author Dylan Scott tells all about his upcoming Manning title Kafka in Action, which shares how Apache Kafka® can be used by beginners who are just starting out their own projects and dispels common H...

15 Heinä 201938min

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 Heinä 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 Heinä 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 Kesä 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 Kesä 201942min

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