~/talk

The Great Data Debate

on YouTube 59m
Talkat Big Data LDN 2018 · 2018-11-28..11-29· [data-engineering, privacy-and-compliance]

speakers

name:Dan Wolfson
links:none on file
name:Raghu Ramakrishnan
links:none on file
name:Doug Cutting
x:cutting
name:Phillip Radley
links:none on file
name:Mike Ferguson
links:none on file

resources

video:https://youtu.be/zGmjYUEO25I
slides:none on file

summary

Conference-level claim: enterprises face tens of thousands of data sources across on‑prem and cloud, with at least 10% of records wrong or missing and data scientists spending 80–95% of their time on finding, integrating and cleaning data. Practical fixes discussed include data unification at scale (example: unifying seven million parts for Carnival Cruise Lines), metadata federation (Egeria/ODPi style catalogs), provenance and GDPR/California privacy by design, and phased cloud migration plus selective use of Hadoop, Spark, HDFS and packaged ML pipelines.

AI-written summary · about

chapters (4)

  1. 0:00Start
  2. 17:21Carnival Cruise Lines
  3. 41:51The Reference Data Management Problem
  4. 58:09Machine Learning

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