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.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.