KSQL Use Cases with Nick Dearden

KSQL Use Cases with Nick Dearden

A discussion about how people actually use KSQL with Nick Dearden, stream processing expert at Confluent. Try KSQL! For more, you can check out ksqlDB, the successor to KSQL. SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you ...

Episoder(286)

How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation...

1 Feb 202350min

What is Data Democratization and Why is it Important?

What is Data Democratization and Why is it Important?

Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better...

26 Jan 202347min

Git for Data: Managing Data like Code with lakeFS

Git for Data: Managing Data like Code with lakeFS

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same wor...

19 Jan 202330min

Using Kafka-Leader-Election to Improve Scalability and Performance

Using Kafka-Leader-Election to Improve Scalability and Performance

How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically parti...

12 Jan 202351min

Real-Time Machine Learning and Smarter AI with Data Streaming

Real-Time Machine Learning and Smarter AI with Data Streaming

Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-so...

5 Jan 202338min

The Present and Future of Stream Processing

The Present and Future of Stream Processing

The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing an...

28 Des 202231min

Top 6 Worst Apache Kafka JIRA Bugs

Top 6 Worst Apache Kafka JIRA Bugs

Entomophiliac, Anna McDonald (Principal Customer Success Technical Architect, Confluent) has seen her fair share of Apache Kafka® bugs. For her annual holiday roundup of the most noteworthy Kafka bugs...

21 Des 20221h 10min

Learn How Stream-Processing Works The Simplest Way Possible

Learn How Stream-Processing Works The Simplest Way Possible

Could you explain Apache Kafka® in ways that a small child could understand? When Mitch Seymour, author of Mastering Kafka Streams and ksqlDB, wanted a way to communicate the basics of Kafka and event...

20 Des 202231min

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