People, every show

FJ Yang

Co-Founder and CEO, Imply. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderexecutiveengineer@fangjin ↗imply.io ↗

Fangjin "FJ" Yang is one of the original creators and authors of Apache Druid, an open-source distributed real-time analytics database. In 2015, he co-founded Imply to commercialize Apache Druid and serves as its CEO.

What they said7 Shows1

Everything FJ Yang said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Opinion

Yang: Imply's main competitors are legacy data warehouses unsuited for streaming

“The largest competition we probably see are more traditional data warehouses. We see a lot of people trying to shoehorn in various Use cases into legacy data warehouses where, you know, data houses, one, they're not built for, like, kind of live streaming inge…”

FJ Yang Jun 12, 2019 ▶ 20:21 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Prediction Not checkable as stated

FJ Yang: Data architecture is trending toward real-time streaming over batch files

“Where I believe the world is starting to trend to is toward a new world where data is not just batched in a static file, but data is constantly in motion, a constant flow of information.”

FJ Yang Jun 12, 2019 ▶ 8:25 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Assertion Not checkable as stated

Yang: Apache Druid merges data warehouses, time series, and search systems

“Druid is a combination of a data warehouse merged with a time series database merged with a search system.”

FJ Yang Jun 12, 2019 ▶ 10:28 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Assertion Not checkable as stated

Yang: Apache Druid can condense raw data 100x through roll-up aggregation

“If you have raw data that's, you know, a hundred gigabytes, Druid can sometimes condense it through roll-up to about a gigabyte in size, so a hundred X reduction.”

FJ Yang Jun 12, 2019 ▶ 12:10 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Assertion Not checkable as stated

Yang: Apache Druid was created to handle hundreds of billions of daily events

“It was created because the volume of data we were dealing with was reaching millions of events per second, and hundreds of billions of events per day.”

FJ Yang Jun 12, 2019 ▶ 3:29 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Assertion Supported

Yang: Wikimedia Foundation uses Apache Druid for internal analytics

“And this is actually how the Wikimedia Foundation itself does a lot of internal analytics on who's editing what on Wikipedia.”

FJ Yang Jun 12, 2019 ▶ 13:49 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

MAD Assertion Supported

Yang: Production Druid clusters process tens of millions of events per second

“Companies today in production have you know, deployed Druid clusters to handle tens of millions of events per second and hundreds of billions of events per day.”

FJ Yang Jun 12, 2019 ▶ 15:49 Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)

One line per show, most statements first. The link opens FJ's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

Show	Role there	Eps	Statements	Record
MADLEDGER	Co-Founder and CEO, Imply	1	7	100% 2/2	full record on the MAD Podcast →