How to Achieve 1M+ Record/Second Kafka Ingest without Sacrificing Query Latency
As our world moves towards being “always-on,” the ability to make decisions and predictions on streaming data in real-time has become mission-critical. Apache Kafka has paved the way for organizations to capitalize on the power of streaming data, but it needs supporting technology to enable real-time analytics.
- How to ingest >1M records per second without sacrificing query latency
- How to rapidly update billions of records with real-time updates and inserts
- Learn to do automatic schema updates without manual changes or cutover downtime
Erica Fowler, PhD
Senior Product Marketing Manager
Erica is a strategy and analytics professional with 12 years of experience designing, implementing, and read more…