The Modern Data Stack 2026: The Complete Guide to Building AI-Ready Data Architectures
The definitive guide to designing, building, and operating modern data platforms in the age of AI.
In 2026, data is no longer just about reporting — it is the foundation of intelligent systems, real-time decision-making, and competitive advantage. Organizations that treat their data infrastructure as a strategic product are pulling ahead, while those stuck with fragmented pipelines and outdated architectures are falling behind.
Written for data engineers, analytics engineers, platform engineers, and technical leaders, this comprehensive handbook delivers everything you need to build production-grade, AI-ready data platforms from the ground up.
What You'll Learn
The core principles of AI-ready data architectures in 2026
How to design hybrid ingestion systems that support both batch and real-time workloads
Lakehouse architectures using Iceberg, Delta Lake, Databricks, and Snowflake
Modern transformation strategies with dbt, semantic layers, and data contracts
Production-grade orchestration, observability, and governance frameworks
Data activation and Reverse ETL patterns that turn insights into operational impact
Practical reference architectures for startups, scale-ups, and enterprises
The emerging agentic data platforms and trends shaping 2027–2030
Filled with real-world patterns, decision frameworks, honest tool comparisons, and production-ready code examples, this book goes far beyond tool lists. It teaches you how to think architecturally and make confident technology decisions in a rapidly evolving landscape.
Whether you're starting a greenfield implementation, modernizing legacy systems, or preparing your platform for large language models and autonomous agents, this 2026 edition gives you the clarity, depth, and practical guidance you need to succeed.
Perfect for:
Data Engineers and Platform Engineers
Analytics Engineers and Data Architects
CTOs, CDOs, and Heads of Data
Technical founders building data-intensive products
The future belongs to organizations that can turn raw data into trusted intelligence at speed. Build your AI-ready data foundation with confidence.
The Modern Data Stack 2026 is your complete roadmap.
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Paperback. Condición: new. Paperback. The Modern Data Stack 2026: The Complete Guide to Building AI-Ready Data ArchitecturesThe definitive guide to designing, building, and operating modern data platforms in the age of AI.In 2026, data is no longer just about reporting - it is the foundation of intelligent systems, real-time decision-making, and competitive advantage. Organizations that treat their data infrastructure as a strategic product are pulling ahead, while those stuck with fragmented pipelines and outdated architectures are falling behind.Written for data engineers, analytics engineers, platform engineers, and technical leaders, this comprehensive handbook delivers everything you need to build production-grade, AI-ready data platforms from the ground up.What You'll LearnThe core principles of AI-ready data architectures in 2026How to design hybrid ingestion systems that support both batch and real-time workloadsLakehouse architectures using Iceberg, Delta Lake, Databricks, and SnowflakeModern transformation strategies with dbt, semantic layers, and data contractsProduction-grade orchestration, observability, and governance frameworksData activation and Reverse ETL patterns that turn insights into operational impactPractical reference architectures for startups, scale-ups, and enterprisesThe emerging agentic data platforms and trends shaping 2027-2030Filled with real-world patterns, decision frameworks, honest tool comparisons, and production-ready code examples, this book goes far beyond tool lists. It teaches you how to think architecturally and make confident technology decisions in a rapidly evolving landscape.Whether you're starting a greenfield implementation, modernizing legacy systems, or preparing your platform for large language models and autonomous agents, this 2026 edition gives you the clarity, depth, and practical guidance you need to succeed.Perfect for: Data Engineers and Platform EngineersAnalytics Engineers and Data ArchitectsCTOs, CDOs, and Heads of DataTechnical founders building data-intensive productsThe future belongs to organizations that can turn raw data into trusted intelligence at speed. Build your AI-ready data foundation with confidence.The Modern Data Stack 2026 is your complete roadmap. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798198354807
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Taschenbuch. Condición: Neu. Neuware - The Modern Data Stack 2026: The Complete Guide to Building AI-Ready Data ArchitecturesThe definitive guide to designing, building, and operating modern data platforms in the age of AI.In 2026, data is no longer just about reporting - it is the foundation of intelligent systems, real-time decision-making, and competitive advantage. Organizations that treat their data infrastructure as a strategic product are pulling ahead, while those stuck with fragmented pipelines and outdated architectures are falling behind.Written for data engineers, analytics engineers, platform engineers, and technical leaders, this comprehensive handbook delivers everything you need to build production-grade, AI-ready data platforms from the ground up.What You'll LearnThe core principles of AI-ready data architectures in 2026How to design hybrid ingestion systems that support both batch and real-time workloadsLakehouse architectures using Iceberg, Delta Lake, Databricks, and SnowflakeModern transformation strategies with dbt, semantic layers, and data contractsProduction-grade orchestration, observability, and governance frameworksData activation and Reverse ETL patterns that turn insights into operational impactPractical reference architectures for startups, scale-ups, and enterprisesThe emerging agentic data platforms and trends shaping 2027-2030Filled with real-world patterns, decision frameworks, honest tool comparisons, and production-ready code examples, this book goes far beyond tool lists. It teaches you how to think architecturally and make confident technology decisions in a rapidly evolving landscape.Whether you're starting a greenfield implementation, modernizing legacy systems, or preparing your platform for large language models and autonomous agents, this 2026 edition gives you the clarity, depth, and practical guidance you need to succeed.Perfect for: Data Engineers and Platform EngineersAnalytics Engineers and Data ArchitectsCTOs, CDOs, and Heads of DataTechnical founders building data-intensive productsThe future belongs to organizations that can turn raw data into trusted intelligence at speed. Build your AI-ready data foundation with confidence.The Modern Data Stack 2026 is your complete roadmap. Nº de ref. del artículo: 9798198354807
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