Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

Clean Architecture is an essential book for every current or aspiring software architect, systems analyst, system designer, and software manager - and for every programmer who must execute someone else’s designs.

「なぜ？」「どうして？」その裏側には、ちゃんと理由があります。「落ち着きがない」「衝動的な言動が多い」「仕事でミスが多い」……そんな発達障害の方の行動が気になっている人、多いかもしれません。

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

なぜ一部の組織や社会はほかに比べて革新的なのか?経済をさらに大きく繁栄させるには、多様性をどう生かせばいいのか?

In Project Zero Trust: A Story About a Strategy for Aligning Security and the Business, George Finney, chief security officer at Southern Methodist University, delivers an insightful and practical discussion of Zero Trust implementation. Presented in the form of a fictional narrative involving a breach at a company, the book tracks the actions of the company's new IT security director. Listeners will learn John Kindervag's 5-Step methodology for implementing Zero Trust, the four Zero Trust design principles, and how to limit the impact of a breach.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

言語学を学べば、生成AIの底力を縦横無尽に引き出せる！生成AI開発に従事する言語学者が明かす人間のあらゆる能力を拡張していくビジネス教養

■【パワハラ上司】【クライアント】【パートナー】【毒親】…切るに切れないめんどくさい相手に嫌われずに言い返す方法

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

正解のない選択肢の中からでも最善手を見出し、選び取るためのテクニック!
人生もビジネスも選択の連続。
「何かをする、しない」「いつやるか」「どのようなやり方をするか」など、意識している