The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 6 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

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)
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)
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)
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)
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)
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)
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