the @SingleStoreDB folks are very patiently schooling me on what goes into a modern db. they are great if you want a high level map to "know what you don't know". from @DomenicRavita
: https://
singlestore.com/blog/the-recip
e-for-a-singlestore-database/
… from @carlsverre
: https://
singlestore.com/blog/engineers
-guide-building-database-for-data-intensive-applications/
… and more i'm going thru
COMPUTING
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Modern Database Architecture: What Engineers Need to Know
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Snowpark as ORM for Data Pipelines: Abstraction Tradeoffs
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right. but ORMs still useful until you get to the scale where the perf matters, and then you can drop down a lvl of abstraction? now that i'm in the data pipelines world, you've suddenly got me thinking if Snowflake's Snowpark is an ORM… https://
docs.snowflake.com/en/developer-g
uide/snowpark/index.html
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ORM Impedance Mismatch: Beyond Standard Database Challenges
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"what ORM inflicts on them" is this referencing standard impedance mismatch or is there a bigger pain that i'm unaware of?
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Bootcamp Grads and Database Abstraction: The Full Stack Paradox
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Perhaps my real hot take is that databases are the CS grads abstracting away all the Hard Problems so that us bootcamp grads can cosplay being "full stack" with literally 1 day of SQL experience before getting hired to make 6 figures making rectangles on server vs on client
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Why Every Developer Should Learn Database Systems
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Convinced that all devs should work on a database as part of training. Ever joked about DataStructures & Algorithms only being useful at interviews? Work on a DB Ever wondered why {{ FAVE_APP }} is slow? Probably a DB Prefer compilers? allow me to introduce query planners..
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GALACTUS service aggregator and Omega Star ISO timestamp compliance
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was looking for GALACTUS, the all-knowing user service provider aggregator has Omega Star gotten their shit together and shipped their ISO compliant timestamps yet??
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Algorithms Outpace Moore’s Law in Computing Speed
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Better algorithms have sped up computing by more than Moore's law.
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Hardware exponential growth versus linear software and human progress
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Hardware progresses exponentially, software progresses linearly, and humans don't.
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Tesla LiDAR Integration and CNN Vision Technology Development
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I’ve worked with CNNs that you refer to as AI Vision since 2016. Plus Karpathy was not independent at the time working for Musk. Plus you’re ignoring the link I have earlier – Tesla have been reportedly working with LiDAR firms
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Why CNNs Alone Cannot Achieve Level 5 Autonomous Vehicles
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Plus there is a reason why AVs have not got to anywhere near Level 5 autonomy that Musk himself arrogantly predicted for 2020 – AI Vision (CNNs) alone is no where near enough. We need causal reasoning & learning on fly – CNNs alone won’t deliver truly advanced AVs @pierrepinna