Nadeem Shabir

Join the first OpenUK Digital Meetup celebrating GitHub's Maintainer Month on May 22nd (Wednesday) — 12 to 1 PM. Hosts Lorna Mitchell of Redocly and Jamie Tanna of Elastic will be joined by a number of project maintainers sharing their stories. Register for this free event: https://lnkd.in/egAf5kC6 #openuk #openukmeetup #maintainersmonth #opensource #community #opensourcemeetup #opensourcesoftware

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Interesting to see what DuckDB can enable: Building a High-Performance Data Pipeline Using DuckDB https://lnkd.in/enKGFSRV

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The Next Chapter in the Sordid Love/Hate Relationship Btwn DBs & OSes https://lnkd.in/dMica_HW A fantastic talk about the various possibilities that eBPF enables for database systems.

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Query, slice, and dice on attributes anywhere within the full trace. Once again, Honeycomb showing off the incredible power of our storage and query system. https://lnkd.in/eqZXU8kC

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This guide demonstrates using Terraform's lifecycle meta-argument to ignore changes to parameter values, enabling seamless integration with other processes that modify these values. https://lnkd.in/eK8QYnVv

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Earlier this week, I got some lovely feedback on Learn Go with Tests (https://lnkd.in/exspPfsg) The best part is that it shows that once you get past the tutorial stage, you start to see the real benefits of TDD. So many people are stuck in the mindset that TDD is about test coverage, but the writer of this feedback has read my material and made the leap into the realm of productivity with TDD. It was very gratifying to read it. You can find the feedback here. https://lnkd.in/enCiKWqV #golang #tdd #nothumblebrag

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We were excited and intrigued by the TableFlow announcement by Confluent at the recent Kafka Summit London. It's great to see the Streaming Datalake concept getting the traction it deserves! In this latest blog post we highlight some of the considerations that come with the convergence of operational and analytical data systems and how the Streambased and TableFlow approaches differ, including: ⚙ Should you move/transform data for analytical purposes? ⏳ What (if any) latency is acceptable between operational and analytical systems? 📊 How should we surface operational data for analytical purposes? Please enjoy and, as always, join the discussion! https://lnkd.in/eMbgKn-f

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Our users asked, we delivered. 🚢 🗂 Structured Generation Type /structured generation to get output in structured JSON format.  👧🏻 New Models • Claude 3.5 Sonnet from Anthropic • Gemma 2 9B form Google Try them out and post your apps in the comments! (see also what Robert Chandler did with Claude 3.5 in a few minutes) 👁️‍🗨️ Follow Sub-Prompt Generation (see video) Click a running prompt to see how it generates, then return to the parent prompt. Check the Runs logs for more details.

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Interesting discussion with Dave Farley and Emily Bache. There are a lot of things that I agree with in it, however the one main sticking point that I have is that a true "engineer" in the more common incarnations, Mechanical, Civil, etc, require registration and licensing from a local state/district and/or governing body. I'd LOVE for programming to have such a system, but we currently don't. That's one reason why I settle with code craft and call myself a crafter. I agree it's not a perfect term, but to me its better than giving the false impression that there's a standard of skillset or understanding like other engineering disciplines. What do you think? https://lnkd.in/gXqmkden

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You too can follow along with my new article and load 1 TiB of data / 2 billion rows into a SingleStore Trial cluster in under 20 minutes. In the case of data loads, impatience is a virtue. https://lnkd.in/grFBJvrD

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Leading Cross-Org Tech Reviews Josie has written a great post about driving a cross-org multi-team tech review practice. It's very focussed, as only senior principal-level engineers are usually tasked with those projects. I do think that org leaders as well as senior engineers will benefit from reading the article and adopting the best practices described there. It's also an excellent example of how to scale one person's efforts across multiple team, and thus applies to more than just tech surveys. Project planning, roadmaps, and tech explorations all have the common characteristic of standardized templates, parallel execution, and open questions. Read on here: https://lnkd.in/gX6bnXzq

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The 2024 StackOverflow survey is out, and for the 8th year in a row, Clojure has ranked near the podium in the Top Paying Technologies category—often occupying rank 1. I don't talk much about why I choose to use a weird Lisp—mostly because nobody cares—but the results speak for themselves. If you can hold your nose long enough to learn something very different, you'll find yourself in a high-productivity environment that features: 🔥 Hot code reloading 🦆 Dynamic typing ♻️ Best-in-class garbage collection 📂 Highly performant immutable data structures 📚 Access to the entire JVM's ecosystem of libraries 🧩 Cross-platform compilation to JavaScript 🧠 An unbelievably smart and humble community Sure, you'll pay a high mental price to learn the language, but as a reward, employers will pay a high price for *you*.

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Interesting article. I firmly agree with the task breakdown and implementation detail. Has anyone tried using number of tasks and average rate to project timing?  https://lnkd.in/e_HysuiJ

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What is HiGHS? How is it used? And what’s next for this open source project? We revisit a conversation and Q&A hosted by Ryan O'Neil with Ivet Galabova and Julian Hall from HiGHS to find out: https://hubs.la/Q02RfKCN0 #orms #optimization #decisionscience

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Shapes and forms of DX12 root signatures https://lnkd.in/ejTJBB7S - a new article on my blog

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Spent some time with a few members of the team discussing various approaches and preferences to tackling coupling in Software Architecture An interesting resource that I shared with them is this chapter from the O'Reilly published book 'Building Evolutionary Architectures' by Neal Ford, Rebecca Parsons and Patrick Kia. It's a good read with some great diagrams (as is the rest of the book!). If you're not already talking about it I can recommend this as a good starting point for asking your team how they feel about coupling and how the systems you're working on approach it. https://lnkd.in/edU7bCvR

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If you like your development environments minimal, dockerised, portable and are not a fan of installing many tools directly on your machine, this could be interesting to you: https://lnkd.in/eiyr7fqr I started it a while ago and I'm using it heavily and daily for: * documentation writing - markdown/mermaid/marp support * basic dotnet development - helps me quickly iterate on ideas I can effortlessly demo and exchange with my peers

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