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
内存数据库管理openHPI CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX Processing Big Data with Azure Data Lake Analytics
Microsoft via edX Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera