The Future of Data

on YouTube ↗15m

" summary

Hadoop is already the enterprise data hub: it runs petabytes on thousands of machines, adds SQL and ETL with Hive Pig HBase Impala and search, and removes early limitations by fixed security and high availability. The platform absorbs new workloads — analytics, data warehousing, online key‑value, search — and is primed for streaming, in‑memory and graph processing; Google’s Spanner provides an existence proof that transactional OLTP can join as well, so computation increasingly moves to data, not the other way around.

AI-written summary · about

" chapters (8)

1. 0:00Intro
2. 4:20Software
3. 5:30Open Source
4. 6:59Security
5. 8:05Hadoop
6. 10:12Where does this place
7. 11:34How far can we go
8. 13:37Conclusion

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