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1
Introduction
2
Messaging vs Streaming
3
Use Cases
4
Pulsar Components
5
Client Libraries
6
Architecture
7
Repeaters
8
Latency and throughput
9
Segments
10
Partitions
11
Offloading
12
Registry
13
Schema
14
Application
15
Subscriptions
16
Multitenancy
17
Pulsar State Example
18
Pulsar IO
19
Pulsar connectors
20
Data stored in Pulsar
21
Pulsar SQL
22
Pulsar SQL Implementation
23
About Apache Pulsar
Description:
Explore Apache Pulsar, a cutting-edge messaging and queuing system, in this 38-minute video presentation from Databricks. Dive into Pulsar's unique two-layered architecture that separates message storage from serving, allowing for seamless scalability and durability. Learn how Pulsar unifies messaging, queuing, and light-weight computing with the scalable properties of log storage systems. Discover the benefits of using Apache BookKeeper as the underlying data storage, ensuring data consistency and durability while maintaining strict SLAs. Gain insights into Pulsar Functions, a serverless framework for real-time data processing. Understand Pulsar's components, client libraries, architecture, and features such as repeaters, latency optimization, partitioning, and multitenancy. Explore practical applications through use cases, Pulsar IO, connectors, and Pulsar SQL implementation. By the end of this talk, grasp how Apache Pulsar enables the development of end-to-end streaming applications and its deployment in various scenarios. Read more

Apache Pulsar - Next Generation Messaging and Queuing System

Databricks
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