Résultats pour "Das System" dans Informatique et technologie

The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.

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.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

Broken Money explores the history of money through the lens of technology. Politics can affect things temporarily and locally, but technology is what drives things forward globally and permanently. The book's goal is for the listener to walk away with a deep understanding of money and monetary history, both in terms of theoretical foundations and in terms of practical implications.

Discover a comprehensive guide designed to equip you with the essential skills and knowledge needed to excel in the realm of Linux system administration. This book serves as a practical resource for individuals aspiring to become proficient (RHCSA) Red Hat Certified System Administrators, offering a structured approach to mastering the intricacies of Red Hat Enterprise Linux. You'll embark on a journey through the fundamental concepts and practical techniques essential for effectively managing Linux-based systems.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

“Read this if you want to understand how to shape our technological future and reinvigorate democracy along the way.”—Reed Hastings, cofounder and CEO of Netflix ""A triumph: an analysis of the critical challenges facing our digital society that is as accessible as it is sophisticated.""...

Welcome to "Predictive Power: Navigating the Landscape of AI Systems and Decision-Making." In this book, we embark on a journey into the fascinating world of artificial intelligence (AI) systems and their profound impact on decision-making processes across various domains. From business and healthcare to finance and beyond, AI technologies are revolutionizing and transforming how we analyze data, predict outcomes, and make informed choices.

In Democracy In Danger, Braun, a veteran of 3 presidential campaigns and former White House Liaison to the Department of Homeland Security, reveals what the national security apparatus, local election administrators, and political parties have gotten wrong about election security and what America needs to do to protect the ballot box in 2020 and beyond.

In Beginner’s AI Mastery Bundle (2 in 1), we walk you through how to master AI tools like ChatGPT and Automation systems, turning complexity into simplicity and unlocking a new level of efficiency in both your work and personal life.

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

Vertrauen in Künstliche Intelligenz ist nicht nur eine regulatorische Anforderung, sondern auch eine Frage der Unternehmensethik, des kulturellen Bewusstseins und verantwortungsvollen Designs. Dieses Buch verfolgt einen integrierten Ansatz und zeigt, wie vertrauenswürdige KI-Systeme über Algorithmen, Server und Datenbanken hinausgehen und auch Aussehen, Natur und Menschen berücksichtigen.

"Reliability Engineering in the Cloud: Strategies and Practices for AI-Powered Cloud-Based Systems" provides the roadmap to building systems that withstand failures, scale on demand, and deliver consistently exceptional experiences. Combining reliability engineering, AI-driven automation, and lean practices, this audiobook shows technology and business leaders how to turn cloud reliability into a strategic asset.

In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals.

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.

It is a fact that you'll be bombarded with system design interview questions which have become part and parcel of all the software engineering hiring processes. Your performance in these interviews will reflect upon your capability to work with complex systems and translate into the role and position that the interviewing organization is interviewing you for. This audiobook is a comprehensive guide to master all the concepts about SDIs.

Most entrepreneurs are running on fumes—trapped in a loop of doing, fixing, and catching up. You can’t step away without something slipping. Deep down, you know the problem isn’t effort—it’s control. The "hustle" is a lie. The path to a million-dollar business isn't working harder; it's shifting from Operator to Architect — building systems that do the draining, repetitive work for you.

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.