Real-time applications are hard to scale! They can get high volumes of data in an instant and need to route messages correctly. Apache Pulsar is a highly scalable, low latency, high throughput pub-sub system to attack this problem. In this course, Handling Streaming Data with Apache Pulsar 2, you’ll learn how to tame them adopting Apache Pulsar. First, you’ll explore Pulsar Functions for serverless ETL. Next, you’ll discover how to connect your Pulsar deployment to Kafka and databases with Pulsar IO. Finally, you’ll learn how to migrate from Kafka to Pulsar with the client wrapper. When you’re finished with this course, you’ll have the skills and knowledge of Apache Pulsar needed to handle high volume streaming data in your applications with ease.
Overview
Real-time applications are hard to scale! They can get high volumes of data in an instant and need to route messages correctly. Apache Pulsar is a highly scalable, low latency, high throughput pub-sub system to attack this problem. In this course, Handling Streaming Data with Apache Pulsar 2, you’ll learn how to tame them adopting Apache Pulsar. First, you’ll explore Pulsar Functions for serverless ETL. Next, you’ll discover how to connect your Pulsar deployment to Kafka and databases with Pulsar IO. Finally, you’ll learn how to migrate from Kafka to Pulsar with the client wrapper. When you’re finished with this course, you’ll have the skills and knowledge of Apache Pulsar needed to handle high volume streaming data in your applications with ease.
Syllabus
- Course Overview 1min
- Transforming Messages with Pulsar Functions 43mins
- Connecting to External Resources with Pulsar IO 33mins
- Inspecting Topic Data with Pulsar SQL 21mins
- Migrating from Apache Kafka to Apache Pulsar 26mins
Taught by
Axel Sirota