Insight certainty 4/5 debate potential 3/5

Thusoo: Centralized enterprise data teams usually become operational bottlenecks

Ashish Thusoo · Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven] · Nov 9, 2016 · at 7:17

Ashish Thusoo, CEO and co-founder of Qubole, outlines why traditional enterprise data team structures fail to deliver timely access to data.

0:00 / 0:11exact quote · 11.1s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“More often than not, this, ah, data team eventually becomes a bottleneck, ah, and, ah, you know, it sort of delays, ah, delays the, ah, availability of data and what people can do with that data.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Ashish Thusoo

Insight
Public cloud does not make financial sense at Facebook scale
“So that's an excellent question, and, ah, there is definitely an, there, ah, you know, there is an inflection point where people, ah, think that, ah, the total cost of ownership, ah, you know, once you're, ah, so suppose you're a Facebook skill, right, of cour…”
Ashish Thusoo May 27, 2014 ▶ 18:42 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Unmodified on-premise Hadoop distributions fail in the cloud beyond 10 nodes
“If you just take a normal Hadoop distro and try to run it in the cloud, the chances are at 10 nodes it'll work fine as you start growing and, you know, as you start growing and growing and growing further. Things will start breaking because, you know, compute …”
Ashish Thusoo May 27, 2014 ▶ 22:34 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Insight
Static Hadoop clusters in the cloud defeat the purpose of elasticity
“They just run long-running Hadoop clusters, which completely defeat the purpose of You know, how, how you can leverage the cloud to be dynamically adaptable to your workloads and things like that.”
Ashish Thusoo May 27, 2014 ▶ 15:15 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Thusoo: On-premise big data deployments take 6 to 18 months
“If you are, you know, going with a traditional approach of, you know, standing this up in your data centers, you know, ah, I think some of the estimates are it takes between six to 18 months to get to production.”
Ashish Thusoo Nov 9, 2016 ▶ 9:27 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Assertion Supported
Thusoo: Cloud infrastructure pricing decreased between 2012 and 2016
“Actually the cloud pricing has gone down over the last three, four years.”
Ashish Thusoo Nov 9, 2016 ▶ 18:43 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Assertion Not checkable as stated
Thusoo: Multi-cloud enterprise adoption remains rare in 2016
“We haven't seen, we have started to see in the press mentions of a company using two clouds and stuff like that, but it's not very wholesale right now.”
Ashish Thusoo Nov 9, 2016 ▶ 19:11 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.