Dmitry Kryuk

“Good judgment comes from experience, and experience – well, that comes from poor judgment.” A.A. Milne

[Dmitry Kryuk @hookmax]

Lak, @lak_gcp , thank you so much for your help with this paper and continuous support!!!

[lak lakshmanan @lak_luster]

Thanks to our customer @glidefinder for making me cool enough for @AnimaAnandkumar to follow. I know it won't last, so I took a snapshot ...🤫

[Google Cloud Tech @GoogleCloudTech]

Dmitry Kryuk, founder and CTO of @glidefinder, explains how his team used GCP services to build a platform that can locate wildfires, alert subscribers, and provide analytics that can help prevent or contain wildfires in a timely matter → https://t.co/IzAUa9ZnJq

[Dmitry Kryuk @hookmax]

United States Spend Ten Times More On Fossil Fuel Subsidies Than Education via @forbes https://t.co/uAnLsl9PJW

[glidefinder @glidefinder]

#SandFire #wildfires in #YoloCounty updated in real-time from #NASA #VIIRS
https://t.co/B99GDkAHkz … …

[Dmitry Kryuk @hookmax]

Thinking to write a series of posts on #Oracle #EPM vs. #Google #GCP. While building #GlideFinder we saw many of the same challenges we see in large-scale #Essbase environments, just taken to extreme. Terabytes of data, real-time streaming, scalability to millions of users...

[Dmitry Kryuk @hookmax]

Thank you @shawn4dublin for your time discussing #wildfires. We just released #GlideFinder, a global platform for #wildfire #detection, #alerts and #analytics. We look forward to piloting the program in California this fire season!

[Dmitry Kryuk @hookmax]

Interactive map for #ChuckeggCreekFire near High Level, Alberta, from @glidefinder, based on #VIIRS, #NASA data.
https://t.co/UQ6uywkUZH …
https://t.co/Z2wXoD0GsY …

[Dmitry Kryuk @hookmax]

Goodbye #Cassini. Because of you we know how #Hyperion actually looks like. https://t.co/njvqNmXupj

[Dmitry Kryuk @hookmax]

https://t.co/tjb1TeYabM

[Gary Crisci @garycrisci]

150 Data Scientists and still no business value? https://t.co/C3cvzOFVzu

[Dmitry Kryuk @hookmax]

New post: dynamic data sources for #regressions based on #cluster rules. Stored procedure code and examples. https://t.co/lytQIPw0Sv

[Dmitry Kryuk @hookmax]

Dynamic pivoting using #Oracle PIVOT function and stored procedure. Playing around with #Dataminer #regressions. https://t.co/oWNSPMHklu

[Dmitry Kryuk @hookmax]

New post: #regression in #odm. #clusters as regression data sources. https://t.co/oWNSPMHklu

[Dmitry Kryuk @hookmax]

New post. Hierarchical clustering with Dataminer for further forecasting. #Essbase meets #predictiveanalytics. https://t.co/0lINuPH6RM

[Dmitry Kryuk @hookmax]

New post: #Essbase meets #R: Next Steps: #ODM (#DataMining) and #ORE (#Oracle R Enterprise). Part 1: #ORE config.
https://t.co/U65lKcaAqI

[Dmitry Kryuk @hookmax]

How to save the outline with API and ignore warnings. #EssbaseScrambler update. Blog post:
https://t.co/jOp27nGigO

[Dmitry Kryuk @hookmax]

@newbish @CameronLackpour It doesn't encrypt. Only obfuscates (I was looking for this word - came up with scrambles :)

[Dmitry Kryuk @hookmax]

New post: integrating #Essbase with statistical software #R. Case study: automatically generated #forecast. https://t.co/VyWfTBCeu2

[Dmitry Kryuk @hookmax]

#Predictive #analytics with #Essbase and #R. #ARIMA, #OLS models comparison for #Forecasting. https://t.co/VyWfTBTPSC

[Dmitry Kryuk @hookmax]

#Essbase meets #R. Automatic forecast: 30%-42% more accurate than made by human analysts. https://t.co/2qwYi6DdJc