Designing Modern Data Platforms with Apache Cassandra and Beyond
summary
Presents an opinionated Data Platform Canvas and playbook that anchors Apache Cassandra (self-managed, Astra) into a full stack with Spark/EMR, Presto/Trino, Stargate APIs, and managed Kafka; prescribes a five‑point checklist (distributed, real‑time, extendable/open, automated, monitored) and a one-page-per-component knowledge schema for operability. Claims Cassandra enables near‑zero RPO/RTO and real‑time feature storage/serving for ML, shows reverse‑ETL and no‑code/low‑code ingestion, and demonstrates a production LLM app built with Astra and Bubble in an afternoon.
AI-written summary · about
chapters (6)
- 0:00Modern data platforms intro
- 3:14Open future-proof design
- 10:24Balancing business and tech
- 16:46Infrastructure and automation
- 21:40Modern workflows with Cassandra
- 24:11AI-ready next steps
related talks
40mApache Cassandra in High-Performance Systems Development
30mArchitecting Applications With Multiple Open-Source Big Data Technologies
35mMission Critical Data, and Evaluating the Community in OSS Tech
16mBuild for real time on AWS: Thrive in an unpredictable market
18mApache Cassandra and Cloud Architectures
47mPatterns for Persistence and Streaming in Cloud Architectures
33mUsing Apache Cassandra as your Document Database
55mSolving Classical Data Analytic Task by Using Modern Distributed Databases
