unstructured data

4 statements across 4 episodes · 1 bullish · 0 bearish · 4 people on the record · first statement Dec 5, 2013 by Eric (MemSQL) · across every show →

Everything said about unstructured data, oldest first

Dec 5, 2013
Insight
Eric Frenkiel: Writing a lightweight parser is easier than unstructured analysis
“What we typically see with unstructured data is it's far easier to write a lightweight parser around that log file, for example, and get it structured very readily.”
Eric (MemSQL) Dec 5, 2013 ▶ 20:49 Panel discussion // Data Driven NYC #13 // Dec 2012
Sep 22, 2014
Prediction Didn’t hold up
Global unstructured data generation will hit 20 million petabytes annually by 2016
“Within the next two years, the amount of unstructured data that will be generated is somewhere in the twenty million petabytes a year figure.”
Vance Loiselle Sep 22, 2014 ▶ 3:10 Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
Oct 21, 2015 positive
Insight
Deep learning excels particularly when applied to unstructured data
“Deep learning is a set of algorithms that is really not that different to machine learning in general. It can do anything that general machine learning can do, and in many cases better, but it really shines when you have unstructured data.”
Richard Socher Oct 21, 2015 ▶ 0:42 Richard Socher, MetaMind // Deep Learning for Enterprise (Hosted by FirstMark Capital)
Jun 28, 2023 neutral
Insight
Huber: Vector databases primarily handle un-databased unstructured data
“Vector databases are primarily about unstructured data. It's actually taking data that had no database that knew about it and loading it in for the very first time. Most applications of this stuff is not about taking data that's already in your relational data…”
Jeff Huber Jun 28, 2023 ▶ 29:36 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
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