Optimizing Speed and Scale of Real Time Analytics Using Apache Pulsar and Apache Pinot
Offered By: Devoxx via YouTube
Course Description
Overview
Explore the powerful combination of Apache Pulsar and Apache Pinot for optimizing real-time analytics in this informative conference talk. Discover how Apache Pulsar, a cutting-edge platform for enterprise-grade event streaming and processing in Cloud Native environments, integrates seamlessly with Apache Pinot, a distributed OLAP datastore designed for scalable real-time analytics with low latency. Learn about Pinot's ability to ingest data from various sources, including Pulsar, and its extensive use at companies like LinkedIn and Uber for high-performance analytical applications. Gain insights into Pulsar's robust features, including geo-replication, multi-tenancy, and data warehouse integrations, as well as its adoption by major enterprises. Understand how these two open-source technologies work together to provide a comprehensive solution for real-time data processing and analytics at scale.
Syllabus
Optimizing Speed and Scale of Real Time Analytics Using Apache Pulsar and Apache Pinot by M
Taught by
Devoxx
Related Courses
Software as a ServiceUniversity of California, Berkeley via Coursera Software Testing
University of Utah via Udacity The Hardware/Software Interface
University of Washington via Coursera Software Debugging
Saarland University via Udacity Introduction to Systematic Program Design - Part 1
The University of British Columbia via Coursera