Streaming Analytics and Real-Time Signal Processing with Apache Kafka

Streaming Analytics and Real-Time Signal Processing with Apache Kafka

Imagine you can process and analyze real-time event streams for intelligence to mitigate cyber threats or keep soldiers constantly alerted to risks and precautions they should take based on events. In this episode, Jeffrey Needham (Senior Solutions Engineer, Advanced Technology Group, Confluent) shares use cases on how Apache Kafka® can be used for real-time signal processing to mitigate risk before it arises. He also explains the classic Kafka transactional processing defaults and the distin...

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Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

What does cloud native mean, and what are some design considerations when implementing cloud-native data services? Gwen Shapira (Apache Kafka® Committer and Principal Engineer II, Confluent) addresses...

7 Joulu 202133min

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

What is ksqlDB and how does Simon Aubury (Principal Data Engineer, Thoughtworks) use it to track down the plane that wakes his cat Snowy in the morning? Experienced in building real-time applications ...

1 Joulu 202130min

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Many of us find ourselves in the position of equipping others to use Apache Kafka® after we’ve gained an understanding of what Kafka is used for. But how do you communicate and teach others event stre...

23 Marras 202129min

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Co...

16 Marras 202137min

Confluent Platform 7.0: New Features + Updates

Confluent Platform 7.0: New Features + Updates

Confluent Platform 7.0 has launched and includes Apache Kafka® 3.0, plus new features introduced by KIP-630: Kafka Raft Snapshot, KIP-745: Connect API to restart connector and task, and KIP-695: Furth...

9 Marras 202112min

Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck

Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck

Kafka Streams is a native streaming library for Apache Kafka® that consumes messages from Kafka to perform operations like filtering a topic’s message and producing output back into Kafka. After worki...

4 Marras 202135min

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

Managing infrastructure as code (IaC) instead of using manual processes makes it easy to scale systems and minimize errors. Rosemary Wang (Developer Advocate, HashiCorp, and author of “Essential Infra...

26 Loka 202130min

Getting Started with Spring for Apache Kafka ft. Viktor Gamov

Getting Started with Spring for Apache Kafka ft. Viktor Gamov

What’s the distinction between the Spring Framework and Spring Boot? If you are building a car, the Spring Framework is the engine while Spring Boot gives you the vehicle that you ride in. With experi...

19 Loka 202132min

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