DataLayer Exposed: Siddharth Kothari and Data Streams with Elasticsearch
PublishedThis week, we wrap up DataLayer 2017 with our final speaker, Siddharth Kothari presenting on data streams.
Our final speaker to take stage was Siddharth Kothari who evangelizes realtime APIs for Appbase.io. Siddharth focuses his talk on the issues created with the emergence of real-time web database designs and how to work effectively to fix a broken system using data streams with Elasticsearch.
Previous DataLayer 2017 talks:
- Charity Majors' presentation on observability
- Ross Kukulinski's presentation on the state of containers
- Antonio Chavez's presentation on the why he left MongoDB
- Jonas Helfer's presentation on Joins across databases with GraphQL
- Joshua Drake's presentation on PostgreSQL as the center of your data universe
- Lorna Jane Mitchell's presentation on surviving failure with RabbitMQ
- Amy Unruh's presentation on scaling out SQL databases with Spanner
- Emile Baizel's presentation on building a Fintech bot on MongoDB and Elasticsearch
- Christina Keelan's presentation on the state of open source company models
- John Singleton's presentation on streaming, filtering, and draining data
- Joshua B. Smith's presentation on speeding up slow monoliths with server less code and caching
- Loren Sans-Ramshaw's presentation on using all the databases
Be sure to tell us what you think using hashtag #DataLayerConf and check back next Monday for the next talk at DataLayerConf.
We're in the planning stages for DataLayer 2018 right now so, if you have an idea for a talk, start fleshing that out. We'll have a CFP, followed by a blind submission review, and then select our speakers, who we'll fly to DataLayer to present. Sounds fun, right?