Broadcast Date: August 20, 2020
In today’s fast-paced world, organizations need to make data-driven decisions now, not tomorrow, not next week. But building a streaming data pipeline for near real-time analytics is complex, hard to manage, tricky to scale, and expensive to maintain. In this tech talk, we walk you through the best practices to create a low-latency, highly scalable, performant, and cost-effective data pipeline using Amazon Kinesis Data Streams. We cover how to scale your data stream with one click, increase consumption throughput with sub-second latency, and how easy it is to integrate with AWS services like S3, Redshift, and Elasticsearch Service.
- Learn about common problems that streaming data pipelines can solve
- See how easy it is to build a low-latency streaming data pipeline
- Learn best practices to increase data stream throughput
Who Should Attend?
Developers, Data Architects, Data Admins
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.