🚀 Join Us for an Exclusive Livestream on kdb+ Architecture Best Practices! 🚀 📅 Date: Wednesday, July 17th 🕒 Time: 11:30 EST / 16:30 GMT Are you ready to dive deep into the world of kdb+ architecture? Then join our upcoming livestream session featuring seasoned experts Alexander Unterrainer and Cynthia Faus Viadé. This is a fantastic opportunity to expand on the topics covered in the new kdb+ architecture course (https://lnkd.in/gVhKwZUS) and explore best practices for designing, managing, and optimizing your kdb+ systems. 🎙️ Key Topics: - Deriving Analytics - Load Balancing & Gateways - Disaster Recovery - Slow Consumers & Chained TPs - Intraday Writedown - Database Best Practices Whether you're an experienced professional or new to kdb+, this session promises valuable insights and practical advice to get the most out of your system. We look forward to seeing you there!
Mastering kdb+ Architecture: A Panel Discussion
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Is the RDB responsible for both EOI & EOD write-down/merging or is some service specific for this not shown?
Is there any plan to bring multi-threading to q in the near future? Would be nice if we could take advantage of the RDB having all of that data in memory
Roger Popa Correct - you can build data pipelines/datafeeds that publish (and subscribe) to kdb+ using PyKX. https://code.kx.com/pykx/ https://code.kx.com/pykx/2.5/examples/ipc/index.html#quickstart/
Thanks everyone for joining today, if you have any questions that we didn't cover during the live stream, feel free to reach out!
Is a gateway generally a thin wrapper only concerned with abstracting the RDB/HDB, or is it more like a complex service or an app in its own right?
one question: data from oracle, mysql, postgresql can be integrate in kdb? how? in datafeed stage? with pyq library?
do you put attributes on the intraday db data as well.
Thank you so much for sharing \o/
Could you provide a brief about Kdb as SaaS on Azure/Aws?
AI/ML researcher, functional & array programming enthusiast
2dThanks for answering our questions!