Hadoop Future in AI World

on YouTube ↗40m

" summary

A historical survey of Hadoop’s roadmap from about 2005–2015, showing how past expectations from developers, vendors and analysts evolved. It analyzes how public cloud adoption and changes in the analytics ecosystem shifted Hadoop’s role, and outlines how the Hadoop ecosystem might adapt to support contemporary and future AI use cases.

AI-written summary · about

" chapters (13)

1. 0:00Start
2. 2:02The Google File System
3. 2:47W-1-W
4. 6:53Lessons Learned
5. 15:02Hadoop Impact on Data Economics
6. 15:41SQL on "Everything"
7. 17:52Clouds, Public & Private
8. 18:56TAAS: New Hardware
9. 19:51Cloud Data Fabric
10. 21:26The Unreasonable Effectiveness of Data
11. 28:53Compute
12. 29:55Storage
13. 31:44Exciting Years Ahead...

" related talks

• 24mIntroduction to HadoopDoug Cutting · dotScale 2013
• 32mThe Next Wave: Data, AI And Analytics In 2019 And BeyondMatt Aslett · Big Data LDN 2018
• 15mMapping the Future of Data & AIFrank Theisen · Big-Data.AI Summit 2022
• 42mTales from the Field: The Future is NowEllen Friedman · Jfokus 2019
• 45mSolving Real & Big (Data) Problems Using HadoopEva Andreasson · GOTO Aarhus 2013
• 30mThe Transformation of the Data Scientist in the Age of AIMarcela Huerfano · BoyaConf 2024
• 11mIn-Hadoop Analytics and IBM's WatsonAnjul Bhambhri · Strata Conference 2014
• 11mRecent trends in data and machine learning technologiesBen Lorica · Strata Data Conference 2019 - New York, NY