Video description
This webcast talk will discuss how logs and stream-processing can form a backbone for data flow, ETL, and real-time data processing. It will describe the challenges and lessons learned as LinkedIn built out its real-time data subscription and processing infrastructure. It will also discuss the role of real-time processing and its relationship to offline processing frameworks such as MapReduce.
Publisher resources
Product information
- Title: I ❤ Logs: Apache Kafka and Real-time Data Integration
- Author(s):
- Release date: June 2014
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 978149190830
You might also like
book
Apache Hadoop 3 Quick Start Guide
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem …
book
Hadoop MapReduce v2 Cookbook - Second Edition
Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets In Detail Starting …
book
Big-Data Analytics for Cloud, IoT and Cognitive Computing
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies …
book
Building Modular Cloud Apps with OSGi
If you’re an experienced Java developer in the enterprise, this practical, hands-on book shows you how …