Sam Kitajima Kimbrel One Data Pipeline to Rule Them All PyCon 2017

"Speaker: Sam Kitajima-Kimbrel
There are myriad data storage systems available for every use case imaginable, but letting application teams choose storage engines independently can lead to duplicated efforts and wheel reinvention. This talk will explore how to build a reusable data pipeline based on Kafka to support multiple applications, datasets, and use cases including archival, warehousing and analytics, stream and batch processing, and low-latency ""hot"" storage.
Slides can be found at: speakerdeck.com/pycon2017 and github.com/PyCon/2017-slides"

[@vcool]

Nice but it may have hints of some overengineering. What's wrong with a simple Kafka + MongoDB stack?

[@TimothyCookUSMCRetired]

Have you ever heard of XML Schema?

[@luisrueda6109]

What did I just watch?