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.
why aren't all 10 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
Early Apache Spark was so unstable that clusters crashed within two hours
“At the time we made that bet, Spark was barely working. I mean, seriously. It was a really promising technology, very complete programming model. We loved the fact it was in memory, but we couldn't find a single customer that could keep their cluster running f…”
Tuchen: Open source matters less in the cloud era than on-premise
“I firmly believe that open sourceness is actually less important in a cloud world than it was in the premise world.”
Tuchen: Microsoft is by far the easiest cloud vendor to partner with
“They're by far the easiest cloud vendor to partner with right now.”
Talend partnered with Google to transition Dataflow into Apache Beam
“We talked to Google, and they had open sourced a part of that, and said, would you be willing to make that an Apache project, and, you know, co-sponsor it with us, and so we can now jointly push this thing forward? And they said yes, and we did. And so that be…”
Over half of Talend's sales pipeline originates from free tier users
“What we find is that still today well over half of our sales opportunities come from people that are trying it out for free, right?”
Tuchen: Google BigQuery is the only fully serverless major cloud data engine
“Google BigQuery is a very impressive data engine. It's probably the only one of the cloud majors that's delivering in a fully serverless kind of way.”
Gartner: Companies spend 60% of their data effort on the first mile
“According to folks like Gartner companies spend about 60% of their time and effort solving that first mile, so that's what we do.”
IDC: Data analysts waste up to three hours daily duplicating work
“Data analysts and data engineers tend to waste around one to three hours per day on duplicating work that someone else has already done.”