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Databases, structured data, data stores, etc.
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Matt Jaffee YouTube

The index as a first class citizen

Matt Jaffe was on a recent episode of Go Time and also gave this talk at OSCON recently on indexes as a first class citizen. In this video Matt talks about a piece of software that's purely an index, not a database, not a datastore, just the index — and optimizing that single piece of software to be very fast! Here's a quick breakdown of an index as a first class citizen: Standalone application, not just a data structure Horizontally scalable, distributed FAST, indexes should make things faster Flexible, integrates with other datastores and data types Also, learn more about Pilosa to see Matt's work in action.


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FoundationDB – Apple's open source distributed database

Straight from the horse's mouth: FoundationDB is a distributed datastore, designed from the ground up to be deployed on clusters of commodity hardware. And: The key-value store supports fully global, cross-row ACID transactions. That's the highest level of data consistency possible. What does this mean for you? Strong consistency makes your application code simpler, your data models more efficient, and your failure modes less surprising. They say it's "actively developed and has years of production use". I wish they'd say exactly how it's being used in production. (Maybe they do and I haven't found it yet?) Also, if you're getting hung up on "key-value store", the vision is much bigger than that.


Dimitri Fontaine

Database modeling anti-patterns 🙅‍♀️

Dimitri Fontaine shares 3 classic data-modeling anti-patterns. The UUID section lacks strong argumentation, but the real gem in this article is his advice at the end. A snippet: My advice is to always normalize your database model first, and then only fix the problems you have with that when you actually have them. Well except in those 3% of cases where really, really, it should be done in the design phase of the project. It’s quite hard to recognize those 3% though, and that ability is hard gained with experience. Experience is the ultimate teacher.


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Your database should work like a CDN

What do you use when your app needs to provide speed and availability to a global audience? You need a distributed database that... Deploys anywhere Reduces latency by performing reads and writes close to users (while still enforcing consistency, even across a distributed deployment) Maintains uptime by tolerating faults Offers granular control over geographical placement of your data for GDPR compliance Sounds like a CDN.


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Please stop using Local Storage

Randall Degges examines the good and bad uses of Local Storage. tldr, don't use it to store sensitive data. Almost every day I stumble across a new website storing sensitive user information in local storage and it bothers me to know that so many developers are opening themselves up to catastrophic security issues by doing so. Let’s have a heart-to-heart and talk about local storage and why you should stop using it to store session data.


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A Proof-Of-Concept GraphQL Server Framework for Rust

This framework is very much in the proof of concept stage. There's still a lot to do. The framework provides a seamless GraphQL interface for Rust servers. It is type-safe, ergonomic, very low boilerplate, and customizable. It has potential to be very fast. I believe that it can be one of the best experiences for GraphQL development in any language, as well as one of the fastest implementations (in part, because it seems to me that Rust and GraphQL are a great fit). Also, check out ~> 2018: The year we learn Rust 1.0 and Rust in 2018

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