Daniel Pittner

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Daniel Pittner

Daniel Pittner

@dpittner84

Working for the future... Postings are my own and don't necessarily represent IBM's positions, strategies or opinions.

Beigetreten Temmuz 2014
100 Folgt70 Follower
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Volker Quaschning
Volker Quaschning@VQuaschning·
Wirtschaftvor8 berichtet, dass die weltweite Kraftwerksleistung stark gestiegen ist. Haupttreiber wären ein Boom der #Photovoltaik und der #Kernenergie. Die Fakten: PV +600 GW Kernkraft +6 GW. Wo führt das hin, wenn jetzt auch schon die ARD Desinformationen verbreitet?
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Mim
Mim@mim_djo·
I was always curious how Motherduck made #DuckDB shareable, although natively it does not support, 1 writer, multiple readers to the same file, now we know :) Either it is a clever architecture or a hack that depends on your perspective :) cidrdb.org/cidr2024/paper…
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Jan Hegenberg 🇩🇪 🇪🇺⚡️🚈🚆
So we have a new "study" trashtalking EVs. In 2023. Again 🙄 @faznet again completely fails to read it critically. If they did, they had realised: 1. Chinese electricity mix is NOT 75% coal. It is 55% coal and falling 2. For all electritiy consumers they don't use the real electricity mix but the "marginal mix". For charging EVs, for producing batteries etc. So they just calculate with crazy high 750 g CO2/kWh - while diesel and gas magically materialise in out cars without any emissions for refining oil. Fun fact: By this approach, EVs in France are not charged with nuclear but only with electricity from burning natural gas. 3. Diesel Cars use only 3,6 l Diesel /100 km on country roads and 5,7 km on the autobahn😂 Real average usage for German Diesel cars is 7 l Diesel over all scenarios. FAZ-Article is this: tinyurl.com/yhv22u8k Study can be found here, but needs email registration: tinyurl.com/mv9ckd2b @AukeHoekstra @Stefan_Hajek
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Michael E. Driscoll
Michael E. Driscoll@medriscoll·
Today @Motherduck , the company behind @duckdb, announced that they've raised $100mm. Yesterday, @tabulario, the team behind Apache Iceberg, announced a fresh $26mm round. And last week Databricks added $500mm to its coffers. What is happening?! What I believe we are now witnessing is the commoditization & fragmentation of the enterprise data stack, driven by open-source tools. This will be just as disruptive as the commoditization of the compute stack driven by Linux and x86 servers a couple of decades ago. Enterprise-grade data stacks can now be assembled from interchangeable, license-free software parts. Data orchestration, storage, and query tools are commodities. In the wake of this trillion-dollar wave of disruption, investors see opportunity, principally in building fully-managed (often "serverless") cloud services on top of the leading commoditized pieces. But creating these services, building community, and establishing a standard is a highly-competitive, multi-year undertaking. Hence the huge amounts of capital we're seeing flow into competing pieces of the stack. [In the analytics database category alone, there are dozens of well-funded, open-source commercializers vying for various slices of the pie -- MotherDuck (DuckDB), Clickhouse, StarRocks, Imply (Druid), Velox, Materialize, InfluxDB, TimeScaleDB, Rockset, StarTree (Pinot)... with an all-Rust-based option surely on the way somewhere.] As this disruption wave plays out, one thing OSS companies must engage with are the developer communities, who are innovation-minded, mission-motivated, and allergic to vendor pitches. On the path to building their businesses, I'm hopeful that the ultimate winners will follow the advice of Silicon Valley sage Tim O'Reilly: "create more value than you destroy." Further Reading: * The Road to Composable Data Systems: Thoughts on the Last 15 Years and the Future by @wesmckinn wesmckinney.com/blog/looking-b… * The Case for Independent Storage by @TabularBlue tabular.io/blog/the-case-… * Building a Serverless Query Engine from Spare Parts (VLDB paper) by @GreCo_CiRo arxiv.org/pdf/2308.05368…
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Stephen Diehl
Stephen Diehl@smdiehl·
A 14-line Python script using gzip outperforming a 345m parameter transformer model is probably the most hilarious result I've seen all year. aclanthology.org/2023.findings-…
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Allen Holub. https://linkedIn.com/in/allenholub
There are two approaches to making projections for business purposes. The one to avoid is estimation based on specification analysis. Unfortunately, that's what most ppl use, and it pretty much always fails because an up-front specification is invariably wong. 1/5
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Gene Kim
Gene Kim@RealGeneKim·
10 years ago, The Phoenix Project was published — To celebrate, this book is free today! What an incredible journey it has been — with over 700K copies sold, I'm always blown away by the stories people tell me about how it's changed their orgs (and careers)! 🙏🙏
IT Revolution@ITRevBooks

Today is the 10th anniversary of The Phoenix Project, and we’re celebrating by giving away the ebook for free! Available from Amazon and other booksellers (some restrictions apply). Read more about The Phoenix Project, DevOps, and IT Revolution here: linkedin.com/feed/update/ur…

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Mr. Goxx
Mr. Goxx@mrgoxx·
Mr. Goxx has started a trading session. Join him live on twitch.tv/mr_goxx. DISCLAIMER This content is for entertainment purposes only. Investments shown here are not financial advice.
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Ian Miell
Ian Miell@ianmiell·
Checks out.
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Christian Drosten
Christian Drosten@c_drosten·
"Im Herbst wird die Wahrscheinlichkeit sich zu infizieren wohl so hoch liegen wie noch nie zuvor in dieser Pandemie. Genau deswegen sollte man sich jetzt zügig um einen Impftermin bemühen. Die Betonung liegt auf jetzt." zeit.de/gesundheit/202…
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Austen Allred
Austen Allred@Austen·
“We needed to eliminate communication, not encourage it. We needed to focus on loosely coupled interaction via machines through well-defined APIs rather than via humans through emails and meetings.”
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