Listen Score
LS 40
Global Rank
TOP 2%

ABOUT THIS PODCAST 🔗

Update frequency:
biweekly
Average audio length:
37 minutes
English
United States
267 episodes
since June 20, 2018
episodic

AUDIENCE OF THIS PODCAST 🔗

~95.85% of listeners are from United States.
🇺🇸
US
95.85%
🇸🇪
SE
1.85%
🇳🇴
NO
0.38%
🇩🇰
DK
0.28%
🇬🇧
GB
0.20%
🇩🇪
DE
0.15%
🇮🇳
IN
0.15%
🇹🇼
TW
0.12%
🇳🇿
NZ
0.10%
🇨🇦
CA
0.10%
Others
0.82%
* Data source: directly measured on Listen Notes. real-time

LATEST EPISODE 🔗

Weekly episodes launching Sept. 22! | Hi, I'm Tim Berglund. It's been about four years since I've been podcasting at Confluent, and "Streaming Audio" has been on hiatus for a little more than two, but I've got great news: we are back!  We're back with a new name, …

SEARCH PAST EPISODES

Search past episodes of Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov.

PREVIOUS EPISODES

Apache Kafka® 3.5 is here with the capability of previewing migrations between ZooKeeper clusters to KRaft mode. Follow along as Danica Fine highlights key release updates.Kafka Core: KIP-833 provides an updated timeline for KRaft. KIP-866 now is preview and allows migration from an existing ZooKe…
After recording 64 episodes and featuring 58 amazing guests, the Streaming Audio podcast series has amassed over 130,000 plays on YouTube in the last year. We're extremely proud of these achievements and feel that it's time to take a well-deserved break. Streaming Audio will be taking a v…
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, A…
Can you use Apache Kafka® and Python together? What’s the current state of Python support? And what are the best options to get started? In this episode, Dave Klein joins Kris to talk about all things Kafka and Python: the libraries, the tools, and the pros & cons. He also talks about the new c…
In this episode, Kris interviews Doron Porat, Director of Infrastructure at Yotpo, and Liran Yogev, Director of Engineering at ZipRecruiter (formerly at Yotpo), about their experiences and strategies in dealing with data modeling at scale.Yotpo has a vast and active data lake, comprising thousands …
Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space for many years, designing and managing systems to support high-volume applications. He has helped m…
dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL tool like Fivetran to pull data from the database into the warehouse, then using dbt to manage the tra…
What’s the next big thing in the future of streaming data? In this episode, Greg DeMichillie (VP of Product and Solutions Marketing, Confluent) talks to Kris about the future of stream processing in environments where the value of data lies in their ability to intercept and interpret data.Greg expl…
What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven)  has come to the world of real-time event streaming from an usual source: the video games industry. And if you stop to think about it, modern on…
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PODCAST IS CLAIMED

This podcast page is claimed and managed by @p9452W

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