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 …
video
Analyzing Big Data with Hadoop, AWS, and EMR
Hadoop is today's most pervasive technology used in Big Data for distributing the processing of massive …
video
Apache Kafka Series - Kafka Security (SSL SASL Kerberos ACL)
Learn Kafka Security, with encryption (SSL), authentication (SSL & SASL), and authorization (ACL). Join hundreds of …
video
Apache Kafka A-Z with Hands-On Learning
Do you want to learn Apache Kafka to store and process multiple, nonstop streams of information …