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#query

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Brendan Hayward

I've been slowly chipping away at my site querydiff.com
I got annoyed at #sqlserver management studio and made a website instead.
You can now load an example pair of #query plans to compare them. See what the site does if you don't have a query plan in a nice xml file ready to go.
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Pubblico
SearchEngine
Implementing a Search Engine with Ranking in Python It might just be me, but every time I use Quo...

http://logicx24.github.io/fuckin-search-engines-how-do-they-work/

#google #search #engines #inverted #index #query #term #frequency #inverse #document #frequency

Event Attributes
The Sopranos, Silicon Valley, and Summer Afternoons · Implementing a Search Engine with Ranking in PythonIt might just be me, but every time I use Quora, I end up seeing at least one question like this one: someone questioning how Google works, and how they can “beat” Google at search. Most of the questions aren’t as brazen or misinformed as this one, but they all express a similar sentiment, and in doing so, they betray a significant misunderstanding of how search engines work.
Pubblico
Dotan Horovits #CNCFAmbassador

Can we standardize on a #query language for #observability?
It's probably going to end up with good-old #SQL 😁

I shared my notes from last week's #KubeCon EU talk about the #CNCF 's working group that looks into observability query language standardization.
linkedin.com/feed/update/urn:l

www.linkedin.com#query #observability #kubecon | Dotan Horovits 🇮🇱🎗Can we standardize on a #query language for #observability? It's probably going to end up with good-old SQL 😁 The Cloud Native Computing Foundation (CNCF) has a working group (WG) looking into observability query language standardization. They gave a fascinating talk last week at #KubeCon Europe. The group, led by Christopher Larsen of Netflix and Vijay Samuel of eBay, has done a comprehensive research among end users and DSL (domain specific languages) designers, to understand what's out there and what works. A very interesting conclusion is that relational approach with an SQL-like language is the best path. Why? because we should recognize that DevOps and SREs are no longer the main folks querying observability data. we need to cater for developers, data scientists, platform engineers and more. You see also the data analytics community moving back to SQL after the hype of NoSQL. Ultimately, SQL is a common language. And don't worry, the idea is to adapt it to time series, and some syntactic sugaring to make it more intuitive. For more background on the working group: https://lnkd.in/d_m6eUbY And check out the semantic specification draft and chime in with your comments: https://lnkd.in/dTf3ijeV Credits to Chris Larsen (WG lead), Alolita S. (Apple, TAG co-chair) and 🇨🇭🇧🇷Pereira Braga (Google) for the interesting talk and for pushing the WG forward.
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