Gaurav Dhillon

10 statements across 2 episodes · 4 bullish · 1 bearish · 1 people on the record · first statement Jan 2, 2019 by Gaurav Dhillon · across every show →

On the record as a speaker too: Gaurav Dhillon's record, appearances and statements → this page counts the times other people say the name.

Everything said about Gaurav Dhillon, oldest first

Jan 2, 2019 bullish
Prediction Not checkable as stated
Dhillon: Data lakes will eventually drown out traditional data warehouses
“The rising tide of the data lake, we think, will drown out the data warehouse in the fullness of time.”
Gaurav Dhillon Jan 2, 2019 ▶ 25:17 a16z Podcast | Making the Most of the Data That Matters
Jan 2, 2019 positive
Insight
Dhillon: Big data's key innovation is automated cross-source data correlation
“In big data, to me, the fundamental breakthrough is providing information from multiple places and producing insights where the data finds the data.”
Gaurav Dhillon Jan 2, 2019 ▶ 6:09 a16z Podcast | Making the Most of the Data That Matters
Jan 2, 2019 negative
Insight
Dhillon: Traditional business intelligence yields diminishing marginal returns
“The traditional rear view mirror view of business intelligence has some element of return, but it's also at some point been well done. There are ways to improve that, but we're getting to a point of diminishing marginal returns on that.”
Gaurav Dhillon Jan 2, 2019 ▶ 17:00 a16z Podcast | Making the Most of the Data That Matters
Jan 2, 2019 positive
Assertion Not checkable as stated
Dhillon: Modern web apps require new plumbing for document models
“One is the data types fundamentally being different require new kinds of plumbing. You know, this is digital plumbing we're talking about, but you're no longer using rows and columns. You're using a document model. The way the worldwide web works, the way brow…”
Gaurav Dhillon Jan 2, 2019 ▶ 7:58 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019 bullish
Prediction Not checkable as stated
Dhillon: Enterprise architecture is shifting from batch processing to real-time streaming
“First, you're going away from a batch architecture of the nineties to a real-time streaming architecture. Like, we want our stuff now. This is 2016, and you know, we want to see a movie now. So, so you're going to go through a real shift towards streams of dat…”
Gaurav Dhillon Jan 2, 2019 ▶ 20:10 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019
Insight
Dhillon: Enterprise IT architecture is always a retrofit job
“The enterprise is a retrofit job. It always has been.”
Gaurav Dhillon Jan 2, 2019 ▶ 23:02 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019 neutral
Assertion Not checkable as stated
Dhillon: Data warehousing was originally an organizing principle, not a product
“Inman and Kimball came up with an organizing principle, you know, data warehousing was never a product. You couldn't go and buy one. It didn't exist, but it was an organizing principle to, and to corral Marshall and get benefits from the data that you had in y…”
Gaurav Dhillon Jan 2, 2019 ▶ 16:30 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019
Assertion Not checkable as stated
Dhillon: Tension between CMOs and CIOs has largely resolved
“There was this tension between the chief marketing officer and the CIO. I think they've largely kissed and made up because A, the CIOs are getting to be more business people and the marketing people are getting more technical. So that tension has disappeared i…”
Gaurav Dhillon Jan 2, 2019 ▶ 26:19 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019
Insight
Dhillon: Replacing enterprise finance software is like open-heart surgery
“I mean, it's open heart surgery for the enterprise to replace finance. It's not simple. It's in many cases, you have to report earnings quarterly. So you really have to get this window just right.”
Gaurav Dhillon Jan 2, 2019 ▶ 1:30 a16z Podcast | From Data Warehouses to Data Lakes
Jan 2, 2019
Insight
Dhillon: You can buy network bandwidth, but latency comes from God
“For some machine data, factory floor data, power plant data, it may not go just because, you know, bandwidth you can buy, but latency you get from God.”
Gaurav Dhillon Jan 2, 2019 ▶ 23:27 a16z Podcast | From Data Warehouses to Data Lakes
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