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Catalogue complet

Brikman Yevgeniy: Fundamentals of Devops
and Software Delivery

Fundamentals of Devops and Software Delivery

A Hands-On Guide to Deploying and Managing Software in Production

De Gruyter Studium

Mikrocontroller sind in der modernen Welt allgegenwärtig und ihrer Verbreitung wird weiteres stetiges Wachstum vorausgesagt. Fundierte Kenntnisse zu deren Aufbau, Funktionsweise und Programmierung vermittelt dieses Buch in praxisnaher Weise. Über 200 Beispiele, die auch auf den Internetseiten des Verlags zum Download bereit stehen, basieren auf der beliebten Familie der AVR 8-Bit Mikrocontroller von Atmel, die unter anderem durch das Arduino-Projekt weit verbreitet sind. Diese Controller eignen sich nicht zuletzt wegen ihres übersichtlichen Aufbaus und ihrer modernen HARVARD-RISC-Struktur hervorragend zur Einführung in die Thematik. Alle praktischen Beispiele wurden für die vorliegende neu bearbeitete Auflage an die aktuellen Software-Tools des Herstellers angepasst. Als IDE kommt das uneingeschränkte, kostenfreie Atmel Studio7 zum Einsatz, als Hardware Basis dient das für ca. 10,- Euro erhältliche Xplained Mini Kit, das nicht nur den Controller, sondern auch die Programmier- und Debug-Hardware enthält. Darüber hinaus enthält das Buch Tipps zur Verwendung des Arduino-Boards unter Atmel Studio7 sowie zum Umstieg auf diese Entwicklungsumgebung. Der Titel richtet sich an Studierende der Elektrotechnik und verwandter Studiengänge, Entwickler in der Industrie sowie ambitionierte Hobbyelektroniker.

Programmierung in Assembler und C – Übungsaufgaben und Schaltungsbeispiele

Mikrocontrollertechnik mit AVR

Best Practices in Portfolio, Program, and Project Management

With a strategic alignment of time-tested disciplines used by world-class institutions to drive innovation, the processes and templates in this edition help innovators--from aspiring creatives to seasoned professionals--with easy access to a winning formula. This book provides a roadmap to successfully execute R&amp;D projects.

Guiding Innovation for Positive R&D Outcomes

Project Management for Research and Development

An informative text for understanding and applying design thinking across strategic organizations. Design Thinking for Business and Management examines how design thinking can be used as a strategic capability to drive innovation, problem solving and organizational transformation. Written by Mersha Aftab, this textbook is designed for final-year undergraduate and postgraduate students studying design thinking and design management. Focusing on human-centred approaches, the book explores how design principles and strategies support creativity, adaptability and competitive advantage in complex business environments. It addresses the role of digital and technological advancements in transformation, alongside ethical, social and sustainable considerations that shape responsible design-led decision making. Practical insight is reinforced through real-world examples from organizations including Nike, Tesla, Netflix, Zappos and 3M. This textbook includes: - Design strategies and principles for structured problem solving - Coverage of digital and technological change in design-led transformation - Ethical, social and sustainable perspectives on design thinking - Human-centred approaches to innovation and organizational success &gt;Whether studying design management or preparing to apply design thinking in business practice, Design Thinking for Business and Management equips students with the mindset and tools to foster innovation and deliver meaningful organizational outcomes.

Strategies, Principles and Practice for Innovation

Design Thinking for Business and Management

Emerging Technologies in Biomanufacturing

The Science of Talent Dynamics: Smart Workforce Design for Biomanufacturing and Industry 4.0 addresses a critical business challenge: why well-qualified workforces underperform despite sophisticated analytics. Based on five years of research across 447 biopharmaceutical companies, the book introduces the Talent Efficiency (TE) framework, which treats talent as value-generating assets rather than costs to be managed. This approach is especially relevant today, when intangible assets represent over 90% of S&amp;P 500 market value.The book presents the Talent Efficiency framework in four parts: establishing the strategic need, explaining the Biopharma Talent Index and its six core components, demonstrating real-world applications, and providing implementation tools. The framework's effectiveness is proven by top-quartile TE performers achieving 14.8 percentage point higher EBITDA margins, 23% faster clinical development, and 31% fewer manufacturing deviations. Its modular design makes it applicable across various industries.Written for organizational leaders who demand measurable results from their talent investments, this book equips C-suite executives, board directors, and institutional investors with a framework to quantify workforce performance impact. It also serves talent leaders, strategic planners, and data architects, aligning workforce capabilities with business goals. While developed in biopharma, the principles apply to any knowledge-intensive field, from manufacturing to financial services, making it valuable for leaders managing innovation, regulatory challenges, workforce design, and enterprise value creation.

Smart Workforce Design for Biomanufacturing and Industry 4.0

The Science of Talent Dynamics

Beyond enabling ultra-fast data transmission, 5G and next-generation networks represent a fundamental transformation in how individuals and organizations connect and interact. The success of these future networks is of interest not just to telecom operators but also to a broader ecosystem--including OTT (over-the-top) service providers, cloud platforms, system integrators, and infrastructure companies. This expanding stakeholder landscape calls for a re-evaluation of conventional telecom regulation in favor of a more adaptable and inclusive framework. 5G and Beyond: Rewiring Telecom Regulation critically examines India's current licensing regime through the lenses of functional separation, diagonal equity, and digital neutrality. Prasad and Sridhar express concern over the growing influence of certain OTT players and argue for regulatory reforms that ensure fairness and flexibility across diverse network services. Core regulatory principles--such as interconnection, spectrum management, net neutrality, and universal access--are revisited in the light of evolving technologies and market dynamics. The authors also explore how their proposed licensing and regulatory framework could be applied to telecom markets beyond India's borders.

Rewiring Telecom Regulation

5G and Beyond

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

The Definitive Guide

The Ghidra Book, 2nd Edition

Systems Innovation Book Series

A lot of managerial finessing is needed to handle the present era of the operations of the oil and gas industry, under the pressure of environmental issues. The recent emergence of the techniques of Agile Systems offers a tremendous collection of new approaches for addressing the managerial impediments to oil and gas operations.

Agile Systems and Environmental Concerns

Project Management for the Oil and Gas Industry

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics. Authors Paweł Tokaj, Jia Yu, and Mo Sarwat provide practical solutions to the challenges of working with geospatial data at scale. Ideal for developers, data scientists, engineers, and analysts, this guide uses real-world examples to help you integrate Python data ecosystems, apply machine learning, build geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet. <ul><li>Understand how Apache Sedona helps data practitioners address challenges with geospatial data</li> <li>Learn how to run Apache Sedona, both locally and in cloud environments</li> <li>Efficiently load, query, and analyze geospatial datasets using spatial SQL</li> <li>Employ machine learning techniques to derive strategy-defining insights from spatial data</li> <li>Manage and optimize large-scale geospatial data within a data lakehouse architecture</li></ul>

A Hands-On Guide For Working With Large-Scale Spatial Data

Cloud Native Geospatial Analytics with Apache Sedona

Tech Today

An A-to-Z guide to securing your Amazon Web Services® environment In Securing the AWS® Cloud: A Guide for Learning to Secure AWS Infrastructure, veteran infrastructure security expert Brandon Carroll delivers a practical, hands-on resource designed to equip you with the foundational security knowledge you need to secure your Amazon Web Services (AWS) environment. From basic online security principles to advanced AWS cloud security techniques, this book explains everything you need to know to make a new or existing AWS deployment as secure and private as possible. Beginning with fundamental concepts of cybersecurity, the author gradually progresses to more sophisticated AWS-specific security practices. His approach is designed to allow you to build on your existing knowledge and effectively apply it to the AWS cloud. You'll explore common challenges - and solutions to those challenges - with clear, straightforward guidance. From identity and access management to infrastructure protection, threat detection and management, data security and cryptography, and resilience and recovery strategies, this book covers every relevant aspect of securing an AWS cloud deployment. Perfect for practicing and aspiring information technology professionals and system administrators, Securing the AWS® Cloud is suitable for anyone who aims to improve their ability to deploy secure AWS solutions, consistently and efficiently.

A Guide for Learning to Secure AWS Infrastructure

Securing the AWS Cloud

This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.

Practical Designs and Configurations for Scalable AI

The AI Cloud Infrastructure Blueprint

Fundamentals of Devops and Software Delivery

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