Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache Pinot
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the powerful combination of Apache Pulsar and Apache Pinot for optimizing real-time analytics in this informative 33-minute conference talk. Discover how Apache Pulsar, a cutting-edge platform for enterprise-grade event streaming and processing in Cloud Native environments, can be seamlessly integrated with Apache Pinot, a real-time distributed OLAP datastore. Learn how this integration enables scalable, low-latency, user-facing, ad-hoc analytics. Gain insights into Pinot's capabilities for ingesting data from both batch and streaming sources, including its impressive performance at companies like LinkedIn and Uber. Understand the benefits of Apache Pulsar's highly performant, distributed, and fault-tolerant messaging platform, which supports geo-replication, multi-tenancy, and data warehouse integrations. Delve into real-world applications and success stories from major enterprise customers, showcasing the potential of this powerful open-source combination for revolutionizing real-time analytics at scale.
Syllabus
Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache P... Mary Grygleski
Taught by
Linux Foundation
Tags
Related Courses
Herramientas de la Inteligencia de NegociosGalileo University via edX Data Warehousing for Business Intelligence
University of Colorado System via Coursera Databases: OLAP and Recursion
Stanford University via edX Database Design
DataCamp SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
Udemy