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Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Technology

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

2021-08-11
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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 powerful stream processing capabilities enable you to quickly start processing real-time data at scale. But how does ksqlDB work? In this episode, Michael Drogalis (Principal Product Manager, Product Management, Confluent) previews an all-new Confluent Developer course: Inside ksqlDB, where he provides a full overview of ksqlDB’s internal architecture and delves into advanced ksqlDB features. 

When it comes to ksqlDB or Kafka Streams, there’s one principle to keep in mind: ksqlDB and Kafka Streams share a runtime. ksqlDB runs its SQL queries by dynamically writing Kafka Streams typologies. Leveraging Confluent Cloud makes it even easier to use ksqlDB.

Once you are familiar with ksqlDB’s basic design, you’ll be able to troubleshoot problems and build real-time applications more effectively. 

The Inside ksqlDB course is designed to help you advance in ksqlDB and Kafka. Paired with hands-on exercises and ready-to-use codes, the course covers topics including: 

  • ksqlDB architecture
  • How stateless and stateful operations work
  • Streaming joins 
  • Table-table joins
  • Elastic scaling 
  • High availability

Michael also sheds light on ksqlDB’s roadmap: 

  • Building out the query layer so that is highly scalable, making it able to execute thousands of concurrent subscriptions
  • Making Confluent Cloud the best place to run ksqlDB and process streams

Tune in to this episode to find out more about the Inside ksqlDB course on Confluent Developer. The all-new website provides diverse and comprehensive resources for developers looking to learn about Kafka and Confluent. You’ll find free courses, tutorials, getting started guides, quick starts for 60+ event streaming patterns, and more—all in a single destination. 

EPISODE LINKS

  • Inside ksqlDB Course 
  • ksqlDB 101 Course
  • How Real-Time Stream Processing Safely Scales with ksqlDB, Animated
  • How Real-Time Materialized Views Work with ksqlDB, Animated
  • How Real-Time Stream Processing Works with ksqlDB, Animated
  • Watch the video version of this podcast
  • Join the Confluent Community
  • Learn more with Kafka tutorials, resources, and guides at Confluent Developer
  • Live demo: Intro to Event-Driven Microservices with Confluent
  • Use PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
view more

More Episodes

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Using Kafka-Leader-Election to Improve Scalability and Performance
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Real-Time Machine Learning and Smarter AI with Data Streaming
2023-01-05
The Present and Future of Stream Processing
2022-12-28
Top 6 Worst Apache Kafka JIRA Bugs
2022-12-21
Learn How Stream-Processing Works The Simplest Way Possible
2022-12-20
Building and Designing Events and Event Streams with Apache Kafka
2022-12-15
Rethinking Apache Kafka Security and Account Management
2022-12-08
Real-time Threat Detection Using Machine Learning and Apache Kafka
2022-11-29
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
2022-11-22
Decoupling with Event-Driven Architecture
2022-11-15
If Streaming Is the Answer, Why Are We Still Doing Batch?
2022-11-09
Security for Real-Time Data Stream Processing with Confluent Cloud
2022-11-03
Running Apache Kafka in Production
2022-10-27
Build a Real Time AI Data Platform with Apache Kafka
2022-10-20
Optimizing Apache JVMs for Apache Kafka
2022-10-13
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
2022-10-03
Application Data Streaming with Apache Kafka and Swim
2022-10-03
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
2022-09-30
How to Build a Reactive Event Streaming App - Coding in Motion
2022-09-20
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