Informationsarkitektur

'[a] gem of a book' Spectator Churches and cathedrals were originally built to be read. They are alive with images and symbols. But today few people, including regular visitors, truly understand the wealth of meaning in what they find there. How t...

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A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear less random, and more predictable, than it was. T...

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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, includ...

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Pervasive Information Architecture explains the 'why' and 'how' of pervasive information architecture (IA) through detailed examples and real-world stories. It offers insights about trade-offs that can be made and techniques for even the most uniq...

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Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition...

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AI images flood feeds, yet the models behind them feel mysterious. Relying on black boxes risks bias, errors, and costly creative dead ends. You deserve hands-on skills to build, audit, and improve these generators yourself. This book starts from ...

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Everything we need to know about metadata, the usually invisible infrastructure for information with which we interact every day. When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many m...

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Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages desi...

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Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through gett...

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how man...

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Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. Th...

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Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. You just got a promotion! AI coding tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer turn every developer into an engineering manager, ...

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Learn how a frontend web framework works by coding your own! Web developers use frontend frameworks every day, but do you know how these essential parts of your stack really work? Build a Frontend Web Framework (From Scratch) reveals the inner wor...

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AI libraries evolve weekly and tutorials rarely keep pace. Need a reliable playbook that simply works? Hugging Face in Action turns cutting-edge models into clear, runnable Python projects you can launch today.¿ Inside you'll find:¿ Utilizing Hugg...

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An in-depth guide to everything Terraform, complete with newly established best practices and experienced insights into Infrastructure as Code. Terraform, and its new open source fork OpenTofu, practically eliminates manual infrastructure configur...

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Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical boo...

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As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we fed...

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Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory mor...

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What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantic...

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Harness the power of Apache Arrow to optimize tabular data processing and develop robust, high-performance data systems with its standardized, language-independent columnar memory format Key Features Explore Apache Arrow's data types and integrati...

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Get up and running with machine learning life cycle management and implement MLOps in your organization Key Features Become well-versed with MLOps techniques to monitor the quality of machine learning models in production Explore a monitoring fram...

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Information architecture (IA) is far more challenging-and necessary-than ever. With the glut of information available today, anything your organization wants to share should be easy to find, navigate, and understand. But the experience you provide...

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In the rapidly evolving world of data and analytics, professionals face the challenge of navigating complex platforms in order to build more efficient solutions. Microsoft Fabric, hailed as Microsoft's "biggest data product in history after SQL Se...

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