Big Data Is Modern Data
summary
Storage costs drop from $193,000 per GB in 1980 to around $0.02 per GB today, which lets systems keep everything and changes design tradeoffs. Real examples: an ad system serving 20 billion ads a day across 10 datacenters used one central Oracle DB, shipped a 40 GB CSV nightly and required weekend downtime; an e-commerce crawler indexed 500 million products on 11 manually sharded MySQL instances and suffered slow, batched search updates and fragile sync. The prescription: document storage (JSON), intrinsic distribution, and portable deployments—MongoDB is presented as one practical fit.
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chapters (12)
- 0:00Introduction and history
- 2:53Changes in data storage costs
- 5:19Early data system challenges
- 8:25Modern application requirements
- 13:21Data size and accessibility challenges
- 16:11Building a modern data platform
- 19:17Rich structure for data
- 21:48Distributed systems benefits
- 22:53Running anywhere and vendor lock-in
- 24:59MongoDB as a solution
- 25:21Why modern apps matter
- 26:02Q&A and closing
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