The Dark Side of NoSQL

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The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and boost overall mental well-being.

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

The Dark Side of NoSQL

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As professional software engineers, sometimes messy details of the real world stand in the way of us delivering principled software. Flaky connections, unreliable services, and bulletproof job scheduling in the presence of non-determinism and failure all tricky problems that discourage us from writing principled software. Yet sometimes the shortcuts we take to solve these problems result in downtime for the business and sleepless nights for us. In this brand-new presentation, created exclusively for Scala in the City, John A. De Goes will show how functional programming can help bring order to even the most chaotic systems. Using ZIO, a new zero-dependency Scala library for building massively scalable asynchronous and concurrent applications, John will demonstrate how functional programming leverages reified effects and algebras to solve the trickiest of reliability and scheduling problems in a principled, composable, flexible way. Join John for an evening of fun and functional programming as you explore fresh ways of thinking about reliability and scheduling, and come out of the talk with valuable skills for using ZIO to solve the everyday problems you encounter at work.

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At the heart of data processing, event-sourcing, actors, and much more is the queue—a data structure that allows producers to pass work to consumers in a flexible way. On the JVM, most libraries, including Akka, are powered by Java concurrent queues, which are reliable but were designed in a different era, for synchronous (blocking) procedural code. In this presentation, John A. De Goes—architect of the Scalaz 8 effect system—introduces IOQueue, a new type of queue powered by the Scalaz 8 IO monad. IOQueue never blocks and provides seamless, composable back-pressure across an entire application, without users having to think about the problem or write any special code. John will discuss how IOQueue achieves these remarkable properties, and show how the structure can be used to solve hard problems with just a few lines of type-safe, leak-free, composable Scala code. Come learn about the power of Scalaz to solve the hard problems of software development, in a principled way, without compromises.

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Effect monads like IO are the way functional programmers interact with the real world. Yet, monadic effects in programming languages like Scala often perform poorly compared to their Haskell counterparts—as much as 10x slower in some benchmarks. In this presentation, John A. De Goes, author of the Scalaz 8 effect system, dredges up an old paper to cast new light on the question of how to model effects, and comes to the surprising conclusion that in Scala, monads may not be the fastest way to model purely functional effects. Join John as he shows a new model of effects that offers performance improvements without sacrificing the wonderful purity that functional programmers rely on to reason about their software.

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Scalaz 8 is the latest edition of the popular functional programming library for Scala. In this whirlwind tour, maintainer John A. De Goes discusses some of the hottest features of Scalaz 8, including all of the following: * A fast, concurrent, and leak-free effect system, which has small, composable, and powerful primitives for building practical, real-world software; * A non-linear type class hierarchy, which permits a more powerful hierarchy that infers well without devastating ambiguous implicit errors; * A new encoding for abstractions in category theory that providers higher fidelity and enables new categories of useful software to be developed; * A Scala 2.12 encoding of opaque types that powers improved performance and better developer UX. In this tour, you’ll see how the design of Scalaz 8 was inspired by a desire to provide Scala developers with a principled, performant, and pragmatic library that never sacrifices the safety and equational reasoning properties of functional programming. You’ll see live code snippets that show you how solving complex real world problems is simpler, faster, safer, and more reasonable than in previous versions of Scalaz. And hopefully you’ll be inspired at just how far functional programming in Scala has come in the past decade.

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In this presentation, John A. De Goes looks at several concurrency and scalability problems similar to the ones all programmers have to face, and shows how purely functional solutions written using Scalaz 8 are shorter, faster, easier to test, and easier to understand than competing solutions written using Akka actors. Discover how functional programming can be your secret superpower when it comes to quickly building bullet-proof business applications!

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Well-architected libraries for functional programming are at once immensely beautiful and practical. They are simple but extraordinarily powerful, helping users solve their problems by snapping together Lego-like building blocks, each of which has just one purpose. Yet, there is a surprising dearth of material on how developers can construct their own well-architected functional code. Many functional programming tutorials talk discuss type safety and making illegal states unrepresentable, but few speak on the subject of good functional interface design. In this presentation, John A. De Goes takes to the stage to discuss a nebulous and underrated tool in the arsenal of every functional programmer. Called *orthogonality*, this tool allows programmers to craft the building blocks of their functional code at "right angles", so so they can be reasoned about simply and composed predictably to solve complex problems. John introduces the concept of orthogonality, looking at its geometric and algebraic origins, presents a way to measure orthogonality, and then walks through a number of interface examples, comparing non-orthogonal designs with orthogonal ones. By the end of the session, attendees should have a newfound appreciation for how important orthogonality is to constructing good functional interfaces, and they should develop the early stages of an intuition about how to slice up a complex problem into core, single-purpose, composable building blocks.

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Purely functional Scala code needs something like Haskell's IO monad—a construct that allows functional programs to interact with external, effectful systems in a referentially transparent way. To date, most effect systems for Scala have fallen into one of two categories: pure, but slow or inexpressive; or fast and expressive, but impure and unprincipled. In this talk, John A. De Goes, the architect of Scalaz 8’s new effect system, introduces a novel solution that’s up to 100x faster than Future and Cats Effect, in a principled, modular design that ships with all the powerful primitives necessary for building complex, real-world, high-performance, concurrent functional programs. Thanks to built-in concurrency, high performance, lawful semantics, and rich expressivity, Scalaz 8's effect system may just be the effect system to attract the mainstream Scala developers who aren't familiar with functional programming.

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Quark is a new Scala DSL for data processing and analytics that runs on top of the Quasar Analytics compiler. Quark is adept at processing semi-structured data and compiles query plans to operations that run entirely inside a target data source. In this presentation, John A. De Goes provides an overview of the open source library, showing several use cases in data processing and analytics. John also demonstrates a powerful technique that every developer can use to create their own purely-functional, type-safe DSLs in the Scala programming language.

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There are many popular stream libraries for Scala developers, including Akka Streams, scalaz-stream, fs2, plus others in the Java ecosystem. While all excellent choices for building reactive Scala applications, their reliance on effects makes them particularly difficult to test and reason about. In this talk, long-time Scala functional programmer John A. De Goes takes to the stage to demonstrate a new approach to modeling streams that requires less machinery and has more reasoning power, composability, flexibility, and testability than many other approaches. By attending the talk, you'll learn how the best stream library may be the one you get for (co)free!

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Quirrel is a statistically-oriented language designed principally for data analysis. It combines a purely-declarative, implicitly parallel design with features needed by data scientists. In this presentation, John A. De Goes (chairman of the Quirrel language committee) introduces Quirrel and shows how it can be used to solve problems across large data sets. Over the past 5 years, R has enjoyed tremendous success in the data science community, and for good reason—it comes with batteries loaded, and sports one of the best communities in the data science world. Although R is not an easy programming language to learn, the basics can be picked up rather quickly. In this talk, John A. De Goes walks through the core syntax and features of R, providing enough training to give anyone the ability to do simple analysis.

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