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Dec 5, 2013 · 22m · mad

Matt Turck, Bloomberg Ventures // Data Driven NYC# 3 // Feb 2012

Matt Turck · 19m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In his opening remarks at the third monthly Data Driven NYC meetup, Matt Turck explores the state of the big data landscape, outlining industry drivers, market hype, implementation challenges, and future commercial waves while asserting New York City's potential to build a world-class data engineering culture.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 99.9% of the talking time here. How this is scored →

Matt as informed peer 0.0 Guest teaching 0.0 Guest disagreement 0.0 Matt pushing back 0.0
05100:0010:0020:000:00–4:18 · Matt as informed peer 0/10 Welcome & Audience Check Matt opens the event with housekeeping, audience polling, and background on Bloomberg Ventures. As a host monologue and housekeeping intro, all interaction metrics are zero.4:18–9:40 · Matt as informed peer 0/10 Event Philosophy and Three Core Rationale Points Matt outlines his philosophy on big data and the three rationale points for starting Data Driven NYC. As a solo presentation monologue, host-side scores must remain zero according to instructions.9:40–13:12 · Matt as informed peer 0/10 Managing Hype, Implementation Challenges, and Talent Scarcity Matt discusses managing media hype, Hadoop installation challenges, and talent scarcity among data scientists. Because this is an uninterrupted solo speech, no guest-host dynamics take place.13:12–17:54 · Matt as informed peer 0/10 The Two Waves: Infrastructure Plumbing and Data-Powered Businesses Matt breaks down the two waves of big data from plumbing infrastructure to data-driven business models like usage-based jet engine pricing. This continuous presentation contains no pushback or schooling.17:54–20:04 · Matt as informed peer 0/10 Bloomberg's Infrastructure Scale and Data Community Host Role Matt shares metrics on Bloomberg's processing scale including 45 billion daily ticks and 10 petabytes of storage. Beyond a brief two-word interjection from an audience member, this remains a host monologue.20:04–22:07 · Matt as informed peer 0/10 Building an Engineering Culture in New York City (NYC Tech 3.0) Matt presents his thesis on building an engineering culture in New York City using local Wall Street talent and capital. The segment is a host monologue without back-and-forth debate.22:07–22:34 · Matt as informed peer 0/10 Presentation Speaker Lineup and Session Intro Matt introduces the lineup of upcoming presenters and concludes his opening remarks. As an administrative teaser monologue, all interaction metrics are zero.0:00–4:18 · Guest teaching 0/10 Welcome & Audience Check Matt opens the event with housekeeping, audience polling, and background on Bloomberg Ventures. As a host monologue and housekeeping intro, all interaction metrics are zero.4:18–9:40 · Guest teaching 0/10 Event Philosophy and Three Core Rationale Points Matt outlines his philosophy on big data and the three rationale points for starting Data Driven NYC. As a solo presentation monologue, host-side scores must remain zero according to instructions.9:40–13:12 · Guest teaching 0/10 Managing Hype, Implementation Challenges, and Talent Scarcity Matt discusses managing media hype, Hadoop installation challenges, and talent scarcity among data scientists. Because this is an uninterrupted solo speech, no guest-host dynamics take place.13:12–17:54 · Guest teaching 0/10 The Two Waves: Infrastructure Plumbing and Data-Powered Businesses Matt breaks down the two waves of big data from plumbing infrastructure to data-driven business models like usage-based jet engine pricing. This continuous presentation contains no pushback or schooling.17:54–20:04 · Guest teaching 0/10 Bloomberg's Infrastructure Scale and Data Community Host Role Matt shares metrics on Bloomberg's processing scale including 45 billion daily ticks and 10 petabytes of storage. Beyond a brief two-word interjection from an audience member, this remains a host monologue.20:04–22:07 · Guest teaching 0/10 Building an Engineering Culture in New York City (NYC Tech 3.0) Matt presents his thesis on building an engineering culture in New York City using local Wall Street talent and capital. The segment is a host monologue without back-and-forth debate.22:07–22:34 · Guest teaching 0/10 Presentation Speaker Lineup and Session Intro Matt introduces the lineup of upcoming presenters and concludes his opening remarks. As an administrative teaser monologue, all interaction metrics are zero.0:00–4:18 · Guest disagreement 0/10 Welcome & Audience Check Matt opens the event with housekeeping, audience polling, and background on Bloomberg Ventures. As a host monologue and housekeeping intro, all interaction metrics are zero.4:18–9:40 · Guest disagreement 0/10 Event Philosophy and Three Core Rationale Points Matt outlines his philosophy on big data and the three rationale points for starting Data Driven NYC. As a solo presentation monologue, host-side scores must remain zero according to instructions.9:40–13:12 · Guest disagreement 0/10 Managing Hype, Implementation Challenges, and Talent Scarcity Matt discusses managing media hype, Hadoop installation challenges, and talent scarcity among data scientists. Because this is an uninterrupted solo speech, no guest-host dynamics take place.13:12–17:54 · Guest disagreement 0/10 The Two Waves: Infrastructure Plumbing and Data-Powered Businesses Matt breaks down the two waves of big data from plumbing infrastructure to data-driven business models like usage-based jet engine pricing. This continuous presentation contains no pushback or schooling.17:54–20:04 · Guest disagreement 0/10 Bloomberg's Infrastructure Scale and Data Community Host Role Matt shares metrics on Bloomberg's processing scale including 45 billion daily ticks and 10 petabytes of storage. Beyond a brief two-word interjection from an audience member, this remains a host monologue.20:04–22:07 · Guest disagreement 0/10 Building an Engineering Culture in New York City (NYC Tech 3.0) Matt presents his thesis on building an engineering culture in New York City using local Wall Street talent and capital. The segment is a host monologue without back-and-forth debate.22:07–22:34 · Guest disagreement 0/10 Presentation Speaker Lineup and Session Intro Matt introduces the lineup of upcoming presenters and concludes his opening remarks. As an administrative teaser monologue, all interaction metrics are zero.0:00–4:18 · Matt pushing back 0/10 Welcome & Audience Check Matt opens the event with housekeeping, audience polling, and background on Bloomberg Ventures. As a host monologue and housekeeping intro, all interaction metrics are zero.4:18–9:40 · Matt pushing back 0/10 Event Philosophy and Three Core Rationale Points Matt outlines his philosophy on big data and the three rationale points for starting Data Driven NYC. As a solo presentation monologue, host-side scores must remain zero according to instructions.9:40–13:12 · Matt pushing back 0/10 Managing Hype, Implementation Challenges, and Talent Scarcity Matt discusses managing media hype, Hadoop installation challenges, and talent scarcity among data scientists. Because this is an uninterrupted solo speech, no guest-host dynamics take place.13:12–17:54 · Matt pushing back 0/10 The Two Waves: Infrastructure Plumbing and Data-Powered Businesses Matt breaks down the two waves of big data from plumbing infrastructure to data-driven business models like usage-based jet engine pricing. This continuous presentation contains no pushback or schooling.17:54–20:04 · Matt pushing back 0/10 Bloomberg's Infrastructure Scale and Data Community Host Role Matt shares metrics on Bloomberg's processing scale including 45 billion daily ticks and 10 petabytes of storage. Beyond a brief two-word interjection from an audience member, this remains a host monologue.20:04–22:07 · Matt pushing back 0/10 Building an Engineering Culture in New York City (NYC Tech 3.0) Matt presents his thesis on building an engineering culture in New York City using local Wall Street talent and capital. The segment is a host monologue without back-and-forth debate.22:07–22:34 · Matt pushing back 0/10 Presentation Speaker Lineup and Session Intro Matt introduces the lineup of upcoming presenters and concludes his opening remarks. As an administrative teaser monologue, all interaction metrics are zero.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 99.7% · guest 0.3%0:00 · Matt 99.7% · guest 0.3%3:00 · Matt 100% · guest 0%3:00 · Matt 100% · guest 0%6:00 · Matt 100% · guest 0%6:00 · Matt 100% · guest 0%9:00 · Matt 100% · guest 0%9:00 · Matt 100% · guest 0%12:00 · Matt 100% · guest 0%12:00 · Matt 100% · guest 0%15:00 · Matt 100% · guest 0%15:00 · Matt 100% · guest 0%18:00 · Matt 99.9% · guest 0.1%18:00 · Matt 99.9% · guest 0.1%21:00 · Matt 100% · guest 0%21:00 · Matt 100% · guest 0%
Sharpest disagreement ▶ 19:25 Brief audience interjection

An audience member uttered a brief comment ('No good') during Bloomberg's infrastructure stats, representing the only guest utterance in an otherwise entirely non-combative solo presentation.

 Hardest push from Matt ▶ 0:10 No host pushback present

Because the episode consists of an intro presentation monologue by host Matt Turck, no host pushback against a guest occurred.

 Biggest teaching moment ▶ 0:10 No schooling present

The guest did not attempt to correct or educate the host at any point during this solo presentation.

 Matt holds his own ▶ 18:20 Detailed Bloomberg data metrics

Matt Turck demonstrated personal industry familiarity by outlining Bloomberg's infrastructure scale, including handling 45 billion daily ticks and storing 10 petabytes of data.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Welcome & Audience Check 0000 Matt opens the event with housekeeping, audience polling, and background on Bloomberg Ventures. As a host monologue and housekeeping intro, all interaction metrics are zero.
Event Philosophy and Three Core Rationale Points 0000 Matt outlines his philosophy on big data and the three rationale points for starting Data Driven NYC. As a solo presentation monologue, host-side scores must remain zero according to instructions.
Managing Hype, Implementation Challenges, and Talent Scarcity 0000 Matt discusses managing media hype, Hadoop installation challenges, and talent scarcity among data scientists. Because this is an uninterrupted solo speech, no guest-host dynamics take place.
The Two Waves: Infrastructure Plumbing and Data-Powered Businesses 0000 Matt breaks down the two waves of big data from plumbing infrastructure to data-driven business models like usage-based jet engine pricing. This continuous presentation contains no pushback or schooling.
Bloomberg's Infrastructure Scale and Data Community Host Role 0000 Matt shares metrics on Bloomberg's processing scale including 45 billion daily ticks and 10 petabytes of storage. Beyond a brief two-word interjection from an audience member, this remains a host monologue.
Building an Engineering Culture in New York City (NYC Tech 3.0) 0000 Matt presents his thesis on building an engineering culture in New York City using local Wall Street talent and capital. The segment is a host monologue without back-and-forth debate.
Presentation Speaker Lineup and Session Intro 0000 Matt introduces the lineup of upcoming presenters and concludes his opening remarks. As an administrative teaser monologue, all interaction metrics are zero.

Statements from this episode (14)

Prediction Not checkable as stated
Bloomberg Ventures may evolve into a dedicated venture investor
“For a number of reasons it looks like we may evolve and actually become much more of an investor.”
Matt Turck Dec 5, 2013 ▶ 2:05
Disclosure
Turck backed an unannounced Hadoop cloud startup in 2012
“I just participated in a seed round just last week. Hasn't been announced yet, but it's a Hadoop in the cloud solution.”
Matt Turck Dec 5, 2013 ▶ 2:47
Opinion
Turck argued the 2012 NYC tech community lacked an engineering culture
“And three, I think that big data is a very interesting opportunity for us, for the, ah, New York tech community to really build an engineering culture in this city, ah, which hasn't been the case so far, but for reasons I'll discuss.”
Matt Turck Dec 5, 2013 ▶ 5:22
Assertion Supported
The World Economic Forum classified data as an asset class
“You may have seen that Davos, ah, you know, recently they decided that data was a new asset class.”
Matt Turck Dec 5, 2013 ▶ 6:11
Opinion
The tech community should embrace mainstream big data media hype
“As a community, I think we should embrace the media hype.”
Matt Turck Dec 5, 2013 ▶ 9:43
Prediction Not checkable as stated
Turck predicted the industry would realize Hadoop is extremely complex
“So everybody's gonna realize sooner or later that Hadoop is really complicated to install.”
Matt Turck Dec 5, 2013 ▶ 11:19
Assertion Not checkable as stated
Turck noted data scientists were becoming virtually impossible to find
“Data scientists are quickly become impossible to find.”
Matt Turck Dec 5, 2013 ▶ 11:30
Prediction Not checkable as stated
Turck predicted big data advantages would become temporary table stakes
“I think that the, I think the advantage that big data is going to give to companies is going to be temporary. I think it's going to be evolving towards being, ah, something like, ah, like what zero stock was to manufacturing a few years ago where, you know, at…”
Matt Turck Dec 5, 2013 ▶ 15:02
Prediction Not checkable as stated
Turck predicted consolidation among early big data infrastructure startups
“So I think what's going to happen to this first wave is that there's going to be some interesting consolidation.”
Matt Turck Dec 5, 2013 ▶ 15:34
Opinion
Turck called Bloomberg the original big data company
“Fundamentally, Bloomberg was the first big data company out there, I think.”
Matt Turck Dec 5, 2013 ▶ 17:54
Assertion Not checkable as stated
Bloomberg infrastructure processed 45 billion financial ticks per day
“The Bloomberg infrastructure handles, every day, forty-five billion ticks, just to give you a sense of, you know, when we're talking about big data.”
Matt Turck Dec 5, 2013 ▶ 19:00
Assertion Not checkable as stated
Bloomberg deployed 10 petabytes of data center storage in 2012
“10 petabytes of storage deployed in our data centers.”
Matt Turck Dec 5, 2013 ▶ 19:31
Prediction Not checkable as stated
Big data gave NYC an opportunity to build an engineering culture
“Well, I think that big data is our opportunity as a community to catch up quite a bit and becoming a very strong engineering place, and there's essentially, you know, several reasons for that.”
Matt Turck Dec 5, 2013 ▶ 20:38
Assertion Not checkable as stated
NYC tech startups can leverage Wall Street's analytics and data expertise
“The people that are coming from Wall Street do have this very strong analytics and data expertise that we can tap.”
Matt Turck Dec 5, 2013 ▶ 21:51
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