Hands On Training

Handling Streaming Data with Apache Pulsar

Pluralsight

Course Features

Duration

2.07 hours

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

2.07 hours

Course Description

Scaling real-time applications is difficult! They are able to access large amounts of data quickly and must route messages correctly. Apache Pulsar can be used to tackle this problem. It is highly scalable, low-latency, and high throughput pub/sub system. This course, Apache Pulsar: Handling Streaming Data, will teach you how to manage them using Apache Pulsar. You'll first learn about Pulsar Functions, which allow for serverless ETL. Next, you will learn how to connect your Pulsar deployment with Kafka and other databases using PulsarIO. You'll also learn how to migrate Kafka to Pulsar using the client wrapper. After completing this course, you will have the knowledge and skills to manage high volumes of streaming data in your applications.

Course Overview

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Course Content

Expand all sections

Module 1: Transforming Messages with Pulsar Functions

Module 2: Connecting to External Resources with Pulsar IO

Module 3: Inspecting Topic Data with Pulsar SQL

Module 4: Migrating from Apache Kafka to Apache Pulsar

Course Instructors

Axel Sirota

Instructor

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, Statis...