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Ashish Thusoo

Founder and CEO, CurieTech AI · 2 appearances on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveengineerauthorinvestor@ashishthusoo ↗LinkedIn ↗curietech.ai ↗

Ashish Thusoo co-created Apache Hive while leading data infrastructure at Facebook and later co-founded the cloud big data platform Qubole, serving as CEO through its growth and acquisition. He also served as General Manager of AI/ML at AWS and co-authored the O'Reilly book Creating a Data-Driven Enterprise with DataOps.

15statements → 10claims → 3claims resolved → 67%fully supported → 3.93/5average certainty → 1.8/5average debate potential → 1said about them ↓

2 supported 1 partly supported 0 contradicted 7 not checkable as stated how the 10 claims stand · each chip opens the sources

1 prediction · 9 assertions · 3 insights · 2 disclosures · every statement was checked. The prediction and assertions are the 10 claims: statements the public record can support or contradict. 3 are resolved, and 7 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Ashish argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

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]

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
75% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

259 words/min while actually speaking · 70.4 um and uh per 1k words

No argument clarity score for Ashish Thusoo: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 7,993 words across 2 episodes of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Ashish Thusoo said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

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
Thusoo: Centralized enterprise data teams usually become operational bottlenecks
“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.”
Ashish Thusoo Nov 9, 2016 ▶ 7:17 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
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]
Prediction Not checkable as stated
Thusoo: Cloud vendor lock-in concerns will diminish as cloud-agnostic software grows
“I think some of those vendor lock-in issues, they'll start to go away.”
Ashish Thusoo Nov 9, 2016 ▶ 19:39 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Assertion Not checkable as stated
Thusoo: Qubole clusters regularly auto-scale 36x for average customers
“QBOL, for example, in QBOL, you know, we regularly have, ah, you know, with our autoscaling algorithms, we are, we regularly scale up clusters to 36 times the size of the minimum clusters on an average customer”
Ashish Thusoo Nov 9, 2016 ▶ 11:07 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Assertion Not checkable as stated
Qubole processes around 500 petabytes of data monthly
“You know, for example, we process around 500 petabytes of data every month across workloads ranging from you know, mundane ETL workloads to more complex machine learning workloads to ad hoc analysis and so on and so forth.”
Ashish Thusoo Nov 9, 2016 ▶ 15:10 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Assertion Supported
Capital One publicly announced plans to close data centers at AWS re:Invent
“I think last year in reInvent, right, Capital One was up in the state saying that, you know, I'm going to, we're going to shut down our data centers, move things to the cloud.”
Ashish Thusoo Nov 9, 2016 ▶ 17:38 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
Disclosure
Qubole runs cloud Hadoop clusters for Pinterest, Quora, and MediaMath
“As part of QBOL, we run, ah, very large Hadoop clusters on the cloud for, you know, companies like Pinterest Quora, MediaMath, DataZoo, and so on and so forth.”
Ashish Thusoo May 27, 2014 ▶ 0:47 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Facebook data infrastructure capacity planning consistently lagged behind demand
“Having, you know, run big clusters at Facebook, I remember conversations with the procurement team where it was like a big capacity planning exercise trying to predict the future, and yes, I know predictive analytics works to predict the future really well, bu…”
Ashish Thusoo May 27, 2014 ▶ 11:00 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Assertion Partly supported
Cloud storage and compute prices recently dropped 70% and 60%
“The costs, the storage costs in the cloud, for example, S-three and so on and so forth, were cut to one third, like a 70% drop. Same for compute, you know, 60% drop.”
Ashish Thusoo May 27, 2014 ▶ 19:15 Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Disclosure
Ashish Thusoo led Facebook's data infrastructure team before founding Qubole
“Before I started QBOL, I was at Facebook, and I built out, I ran the team that built out the infrastructure there.”
Ashish Thusoo Nov 9, 2016 ▶ 5:08 Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]

The other half of the tape: Ashish Thusoo's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the MAD Podcast. every mention, with the transcript →

Who brings them up most Nick (Domino Data Lab) 1

Every mention by year

tap a year for its mentions
0011112016episodesmentions
0112016episodes it came up in
000.50.5112016episodesmentions per episode
2016 1 mention in 1 episode

Appearances (2)

EpisodeDateSpeaking time
Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driv Nov 9, 2016 19m
Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) May 27, 2014 19m
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