Jarek solven (18 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - Navigating the complex landscape of modern data platform migration requires more than basic knowledge-it demands deep technical expertise, strategic planning, and hands-on implementation skills. This authoritative guide by Jarek Solven provides data engineers, architects, and platform administrators with a complete roadmap for migrating Azure Synapse Analytics workloads to Microsoft Fabric's unified analytics platform. Drawing from real-world enterprise migrations, this book delivers battle-tested strategies for moving pipelines, dataflows, and data warehouses while maintaining business continuity and optimizing performance. You'll master the architectural differences between Azure Synapse and Microsoft Fabric, learn to refactor legacy code for OneLake compatibility, and implement robust migration patterns that minimize downtime and risk. Inside, you'll discover comprehensive coverage of data pipeline transformation techniques, T-SQL and Spark code migration methodologies, security model transitions, and performance optimization strategies specific to Fabric's lakehouse architecture. Each chapter combines theoretical foundations with practical implementation examples, troubleshooting guidance, and best practices derived from successful enterprise migrations. Whether you're planning a phased migration of critical data warehouses, modernizing ETL pipelines to Fabric's DataFactory capabilities, or reimagining your analytics architecture for the AI era, this guide equips you with the technical depth and strategic insights needed to execute flawlessly. Transform your data platform with confidence. Start your Microsoft Fabric migration journey today and unlock the full potential of unified analytics, AI integration, and lakehouse architecture for your enterprise. …

Taschenbuch. Zustand: Neu. Neuware - Transform your data engineering and analytics capabilities with the definitive guide to Microsoft Fabric-the revolutionary unified platform that consolidates data lakes, warehouses, real-time analytics, and AI workloads into a single SaaS solution. Mastering Microsoft Fabric takes you on a comprehensive journey from foundational concepts to advanced implementation strategies. Written by industry expert Jarek Solven, this technical guide equips data engineers, analytics professionals, and solution architects with the practical knowledge needed to architect, deploy, and optimize enterprise-grade data solutions.Inside, you'll discover how to leverage Fabric's complete suite of capabilities-from OneLake's distributed storage architecture to Data Factory's orchestration engine, from Power BI's semantic modeling to Real-Time Intelligence for streaming analytics. Learn to implement lakehouse architectures, build robust data pipelines, integrate machine learning workflows, and establish governance frameworks that scale across your organization.>Stop juggling multiple tools and platforms. Master Microsoft Fabric today and unlock the full potential of unified data analytics for your organization.…

Taschenbuch. Zustand: Neu. Neuware - This book provides a detailed examination of engineering practices for building advanced AI systems centered on Anthropic's Claude models. It focuses on the integration of LangChain for modular LLM application development, LangGraph for stateful agent orchestration and workflow management, and the Model Context Protocol (MCP) for standardized, secure connections to external data sources, tools, and services. Readers will explore architectural patterns for creating reliable, context-aware intelligent agents capable of complex reasoning and multi-step interactions. The content covers practical implementation strategies for constructing scalable pipelines that leverage MCP servers, adapt tools across distributed environments, and maintain consistency in long-running agent executions. Designed for experienced developers, AI engineers, and technical architects already familiar with Python-based LLM frameworks and agent concepts, this volume emphasizes production-grade design decisions, interoperability considerations, and performance optimization in real-world deployments.If you are ready to advance your capabilities in constructing sophisticated Claude-powered systems, add this resource to your library today.…

Taschenbuch. Zustand: Neu. Neuware - This reference provides experienced software architects and developers with a focused examination of designing and implementing agent pipelines and application frameworks powered by Claude from Anthropic. Drawing on established patterns in agentic systems, the book addresses core architectural decisions, including tool orchestration, context management, workflow composition, multi-agent coordination, and production deployment considerations specific to Claude's capabilities such as tool use, MCP integration, and reasoning transparency. Chapters explore modular designs for single-agent and multi-agent configurations, effective prompt and context engineering for sustained performance, error handling in long-running tasks, evaluation strategies, and optimization techniques that align with Anthropic's recommendations for simplicity, transparency, and reliable agent-computer interfaces. The content assumes familiarity with LLM APIs, Python-based development, and system design principles. It emphasizes practical, conservative approaches suitable for enterprise and production environments rather than experimental prototypes. Professionals seeking to construct robust, maintainable Claude-powered agent systems will find detailed references and implementation considerations to inform their architecture choices. Add this professional reference to your library today to strengthen your approach to LLM-driven agent development.…