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5 produkter
5 produkter
E-bok
Engelska430 kr
Läs direkt efter köp
E-bok
Engelska, 2026124 kr
Läs direkt efter köp
Mastering Web Development: A Journey through HTML, CSS, and JavaScriptThe web is not just a platform — it is a way of life. Every website you visit and every digital experience you encounter is built on three foundational technologies: HTML, CSS, and JavaScript. Mastering Web Development is your comprehensive, practical guide to understanding and wielding these technologies with confidence and creativity.Written by Martin Hander, Ph.D., a software developer with over two decades of industry experience, this book is designed for everyone — from complete beginners taking their first steps into coding, to experienced developers looking to sharpen their skills.What this book covers:The journey begins with setting up your development environment, choosing the right tools, and configuring version control, Node.js, and local development servers.HTML Fundamentals cover syntax, document structure, headings, paragraphs, text formatting, lists, tables, forms, and semantic HTML for accessibility. CSS Styling Basics unlock selectors, properties, the Box Model, positioning, and responsive web design with media queries. Advanced CSS Techniques take you further with Flexbox, CSS Grid, transitions, animations, custom fonts, SASS preprocessors, and CSS organization best practices.JavaScript Fundamentals introduce variables, data types, operators, control structures, functions, scope, arrays, objects, and error handling. DOM Manipulation covers selecting and modifying page elements, event handling, asynchronous JavaScript, the Fetch API, and DOM traversal techniques.Interactive Web Development explores form validation, dynamic content, cookies, local storage, APIs, and building complete interactive web applications. Front-End Frameworks and Libraries introduces React, Vue, Angular, jQuery, Bootstrap, and third-party library integration.Web Development Best Practices covers code organization, performance optimization, cross-browser compatibility, SEO, and web accessibility. Deployment and Hosting covers hosting options, file uploading, domain configuration, SSL/TLS security, and CI/CD pipelines. The final chapter guides you through planning, building, testing, launching, and maintaining a complete web project.Who this book is for:Complete beginners with no prior coding experienceStudents studying computer science or digital mediaDesigners looking to bring creative visions to life in codeProfessionals transitioning into web developmentExperienced developers seeking a structured refresherWhether your goal is to build a personal portfolio, launch a business website, or pursue a career in tech, Mastering Web Development is your trusted companion every step of the way.
E-bok
Engelska, 2026123 kr
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Guardians of the Cloud: Ensuring Data Warehouse SecurityIn a world where data breaches make headlines daily and cyber threats grow more sophisticated by the hour, securing your cloud data warehouse is no longer optional — it is a business imperative. Guardians of the Cloud is your authoritative guide to understanding, implementing, and maintaining world-class security for cloud data warehouse environments.Written by Martin Hander, Ph.D., a senior software developer with over two decades of hands-on experience in complex systems and data-driven solutions, this book delivers a practical exploration of every critical dimension of cloud data warehouse security.What this book covers:The book opens with an introduction to cloud data warehouses, why security matters, and how leading platforms including Amazon Redshift, Google BigQuery, Snowflake, and Azure Synapse Analytics approach protecting data at scale.The architecture section covers best practices including authentication, multi-factor authentication, role-based access control, network security, and regulatory compliance. Data encryption is covered comprehensively, including Transport Layer Security, data-at-rest encryption, and database-level encryption. Key management strategies include Key Management Services, Hardware Security Modules, and Bring Your Own Key approaches.A dedicated section on security risks prepares readers to defend against malware, data breaches, phishing, social engineering, insider threats, Distributed Denial of Service attacks, and brute-force attacks, with practical countermeasures provided for each threat.Monitoring and compliance are covered through twelve dimensions of compliance auditing including data access controls, encryption, data retention, audit logging, change management, security patching, user training, incident response planning, and vendor management — supporting frameworks including GDPR, HIPAA, PCI DSS, and CCPA.Disaster recovery and business continuity planning cover backup strategies, Recovery Time Objectives, Recovery Point Objectives, failover procedures, and crisis communication. Backup methods and cloud-based recovery options including file-level, virtual machine, point-in-time, and cross-region recovery are all explained.The book concludes with twelve future trends shaping cloud data warehouse security: Zero Trust Architecture, AI-driven security, multi-cloud security, homomorphic encryption, container security, DevSecOps, immutable infrastructure, enhanced Identity and Access Management, data masking and tokenization, and real-time threat detection and response.Who this book is for:Cloud architects and security professionalsCompliance officers navigating data protection regulationsIT managers and CISOs building enterprise security strategiesData engineers and administrators managing cloud platformsTechnology students building expertise in cloud securityIn a digital landscape where a single breach can destroy an organization's reputation overnight, Guardians of the Cloud equips you with the knowledge and frameworks to build resilient, compliant, and trustworthy cloud data warehouse security.
Häftad, Engelska, 2026
556 kr
Skickas inom 3-6 vardagar
Design, build, and operate a production-grade analytics platform on Snowflake. This practical guide shows how Snowflake architecture shapes modeling, ingestion, and transformation choices; how to engineer ELT pipelines for structured and semi-structured data; and how to make performance, workload, security, and cost decisions that stand up in real projects. The approach is engineering-first and scenario-driven, turning concepts into repeatable, auditable solutions teams can use day to day.Beyond feature coverage, the emphasis is operations: CI/CD for SQL and Snowpark code, monitoring and observability, least-privilege governance with roles and policies, cost guardrails, secure sharing and collaboration, and business continuity with Time Travel, cloning, and replication. You will learn Snowflake-specific techniques for pruning, selective clustering, streaming and CDC, and dynamic refresh.What makes this book especially useful is its end-to-end operating playbook: opinionated patterns, checklists, and guardrails that connect architecture, modeling, ingestion and ELT, governance and security, performance and cost, and the everyday practices of releasing and recovering safely. It focuses on concrete decisions and the trade-offs behind them, helping teams avoid legacy anti-patterns while building a reliable, auditable platform that is ready to evolve.What You Will LearnDesign Snowflake architectures that align storage, compute, security, and governance into a coherent, scalable platform.Model, load, and transform structured and semi-structured data using streams, tasks, MERGE, and SCD2 patterns.Tune performance and control cost with micro-partition pruning, selective clustering, warehouse sizing, and workload isolation.Implement least-privilege RBAC, masking and row access policies, auditing, and tag-driven governance.Build reliable ELT pipelines and release safely with CI/CD, testing, cloning, and SWAP-based promotion.Operate with observability and SRE practices using Snowflake usage views and SLOs.Share and collaborate securely with Secure Data Sharing and Marketplace, and plan replication and DR for continuity.Who This Book Is ForData engineers; data warehouse and solution architects; analytics engineers; BI developers; advanced data analysts; DBAs moving from on-prem to cloud (intermediate level with SQL and warehousing basics).
Häftad, Engelska, 2026
619 kr
Kommande
This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments.This book guides through the entire modern machine learning lifecycle. You’ll start with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You’ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance. Finally, you’ll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you’ll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.In the end, this book helps you build systems that are robust, auditable, and optimized—whether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.What you will learn:Implement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.Fine tune and serve LLMs with LoRA/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.Design agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.Deploy and run production grade AI with MLOps/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.Who this book is for:This book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale.