The Ledger, every show

Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.

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a16z Prediction Not checkable as stated
Moghe: Enterprise data is shifting to verticalized full-stack applications
“So there's a whole new breed of, ah, we heard this morning, like the full stack, you know, sort of the full stack app. Like verticalized, experiences, everything that matters. I think that's where it's going. I think where it's going is all that data gets surf…”
Prat Moghe Jan 2, 2019 ▶ 16:03 a16z Podcast | Making the Most of the Data That Matters
a16z Assertion Not checkable as stated
Moghe: Spark and Hadoop do not replace existing data warehouses
“Spark doesn't subsume data warehousing. Hadoop doesn't subsume, you know, streaming. So they're just like different technologies for different jobs.”
Prat Moghe Jan 2, 2019 ▶ 23:39 a16z Podcast | Making the Most of the Data That Matters
a16z Assertion Contradicted
Mogai: NYC reduced gunfire and police deployment using predictive data
“You know, like in New York City, I think this was New Year's Eve, and they collected statistics on random gunfire, and they used that data to predict where they should deploy, ah, police so that they could ensure safety, right? And what they realized is that t…”
Prat Moghe Jan 2, 2019 ▶ 0:55 a16z Podcast | Big Data Goes Really Big
a16z Assertion Supported
Pratt Mogai: Big Data 1.0 is a $10B market dominated by incumbents
“One dot O, which is where most of the world is, it's a ten billion dollar market, largely going to a few incumbents, right?”
Prat Moghe Jan 2, 2019 ▶ 4:42 a16z Podcast | Big Data Goes Really Big
a16z Prediction Not checkable as stated
Moghe: Democratized cloud big data will flatten corporate organizational structures
“I think that's the Google-like or the Facebook-like culture you want to see permeated across all the top 2000 enterprises, and it's not there today. So I think the long-term implication of big data, cloud making it really democratic is access to everyone, flat…”
Prat Moghe Jan 2, 2019 ▶ 10:59 a16z Podcast | Big Data Goes Really Big
MAD Assertion Not checkable as stated
Prat Moghe: Many major banks remain in traditional data centers
“Like, if you look at the big banks around you, many of them are still in the data center.”
Prat Moghe May 24, 2017 ▶ 2:31 Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
MAD Assertion Not checkable as stated
Prat Moghe: Hiring qualified Hadoop DevOps engineers is exceptionally difficult
“Can you actually hire a good Hadoop DevOps engineer? Is it easy? I mean, you saw somebody stand up here saying they're recruiting. There's a reason, and it's because it's really hard to find these people, right?”
Prat Moghe May 24, 2017 ▶ 5:13 Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
MAD Assertion Not checkable as stated
Prat Moghe: Daily enterprise data increments rarely reach petabytes per day
“The daily increment typically be found is usually in a few terabytes a day. It's rarely petabytes a day.”
Prat Moghe May 24, 2017 ▶ 17:02 Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
MAD Assertion Supported
Moghe: FINRA, NASDAQ, and Capital One are going all-in on cloud big data
“FINRA, NASDAQ, Capital One. I mean, these are like really cutting edge, large companies that have actually retooled themselves, right? And they've said, they're going all into the cloud. They're going to do big data in the cloud.”
Prat Moghe May 24, 2017 ▶ 6:06 Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
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