Apache Pulsar: The Next Generation Messaging and Queuing System скачать в хорошем качестве

Apache Pulsar: The Next Generation Messaging and Queuing System

Apache Pulsar is the next generation messaging and queuing system with unique design trade-offs driven by the need for scalability and durability. Its two layered architecture of separating message storage from serving led to an implementation that unifies the flexibility and the high-level constructs of messaging, queuing and light weight computing with the scalable properties of log storage systems. This allows Apache Pulsar to be dynamically scaled up or down without any downtime. Using Apache BookKeeper as the underlying data storage, Pulsar guarantees data consistency and durability while maintaining strict SLAs for throughput and latency. Furthermore, Apache Pulsar integrates Pulsar Functions, a lambda style framework to write serverless functions to natively process data immediately upon arrival. This serverless stream processing approach is ideal for lightweight processing tasks like filtering, data routing and transformations. In this talk, we will give an overview about Apache Pulsar and delve into its unique architecture on messaging, storage and serverless data processing. We will also describe how Apache Pulsar is deployed in use case scenarios and explain how end-to-end streaming applications are written using Pulsar. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unifie... Connect with us: Website: https://databricks.com Facebook:   / databricksinc   Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...