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 8 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
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.”
Cazena CEO: Unmonitored cloud spending can hit $50,000 unexpectedly
“Like I have a CFO watching my cloud costs every day. Because if you don't watch them quickly, you spend 50,000 dollars without even knowing it.”
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: Provisioning cloud analytics is a dark art
“So just provisioning, provisioning what you need in analytics from the cloud itself is a dark art.”
Prat Moghe: Cloud is not inherently insecure, but default settings are open
“Security is one of those things where people are either completely afraid of the cloud security and say cloud's not secure, which I say that's just not true. Cloud has a lot of great security controls, but the reality is it's a lot of work to take all of those…”
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.”
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.”