ETL Is Dead, Long Live Streams: real-time streams w/ Apache Kafka

Are you enthusiastic about sharing your knowledge with your community? InfoQ.com is looking for part-time news writers with experience in Artificial Intelligence or Machine Learning. Earn money! Build recognition! To learn more, contact [email protected] with a link to your LinkedIn profile. ---------------------------------------------------------------------------------------------------------------------------------------------- Neha Narkhede talks about the experience at LinkedIn moving from batch-oriented ETL to real-time streams using Apache Kafka and how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data. She covers some of the challenges of scaling Kafka to hundreds of billions of events per day at Linkedin, supporting thousands of engineers, etc. Download the slides & audio at InfoQ: http://bit.ly/2ldN6P0 This presentation was recorded at QCon San Francisco 2016. The next QCon is in London, March 5-7, 2018. Check out the tracks and speakers: http://bit.ly/2hxsoN1 For more awesome presentations on innovator and early adopter topics check out InfoQ’s selection of talks from conferences worldwide: http://bit.ly/2lRQCll