Calderik Veyron (39 results)

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Modern data engineering is no longer about writing a few Python scripts or running isolated SQL queries.Learn how to build production-grade ETL pipelines, orchestration workflows, scalable data platforms, and enterprise analytics systems using SQL and Python.Today's organizations depend on: scalable data pipelines, analytics engineering workflows, warehouse architectures, and modern data platforms\to power reporting, automation, forecasting, operational intelligence, and business decision-making reliably.But many aspiring data engineers feel trapped between: fragmented tutorials, disconnected tools, shallow toy projects, and beginner content that never explains how real production systems actually operate.Knowing SQL alone is not enough.Knowing Python alone is not enough.Modern production data engineering requires understanding how: ETL and ELT workflows, orchestration systems, transformation pipelines, warehouse architectures, observability systems, semantic reporting layers, and enterprise analytics workflowsall work together inside scalable operational ecosystems.That is exactly what this book teaches.Instead of focusing on isolated tools, Modern Data Engineering with SQL and Python helps you develop the systems-thinking mindset used by professional data engineers, analytics engineers, and modern data platform architects.Inside this book, you will learn how to: Build production-grade ETL pipelines with SQL and PythonDesign scalable data pipelines and modern data platformsEngineer reliable orchestration workflows and scheduling systemsCreate maintainable analytics engineering transformation layersStructure enterprise-ready data warehouse architecture systemsDevelop validation, monitoring, and observability workflowsOptimize large-scale warehouse transformations and reporting pipelinesCoordinate multi-system enterprise analytics workflows professionallyHandle schema drift, retries, replay recovery, and pipeline failures safelyThink like a production systems engineer instead of a tutorial-driven tool userUnlike many beginner-focused books, this guide emphasizes: operational reliability, scalability, maintainability, observability, workflow coordination, semantic consistency, and long-term production engineering discipline.Throughout the book, you'll follow a continuous enterprise retail and logistics case study that demonstrates how modern production data engineering systems behave under real operational conditions.You'll learn not just how pipelines execute - but how professional engineers design systems that remain: scalable, recoverable, observable, governable, and trustworthyas organizational complexity grows.Whether you want to become a: data engineer, analytics engineer, BI engineer, ETL developer, or modern data platform professional, this book gives you the practical engineering foundation most tutorials never teach.If you're ready to move beyond isolated scripts and start building real product Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Most SQL books teach queries. This book teaches production engineering.If you can write SQL but still struggle to build scalable, maintainable, and high-performance database systems under real enterprise pressure, you are not alone.Modern applications depend on complex transactional database systems that power APIs, dashboards, reporting platforms, analytics pipelines, and distributed backend services simultaneously. A query that works in development can become a production bottleneck under concurrency, scaling pressure, and operational complexity.Production SQL Architecture bridges the gap between writing SQL and engineering real production systems. Combining modern enterprise database design, production database engineering, and practical database systems architecture, this book teaches the systems-engineering mindset required for building reliable SQL environments at scale.Inside this book, you will learn how professional engineers approach: - SQL Server performance optimization- execution plans and indexing strategies- scalable query design and workload coordination- concurrency management and transactional reliability- observability, monitoring, and deployment safety- long-term SQL scalability engineering- maintainable backend database architectureWhat You'll Learn- Design scalable relational systems for enterprise workloads- Build maintainable, production-grade SQL architectures- Master execution plans, indexing, and query tuning- Prevent blocking, deadlocks, and scalability bottlenecks- Engineer reliable reporting and analytical workflows- Think like a production SQL architect-not just a query writerUnlike beginner SQL books built around disconnected examples, this book follows a continuous enterprise retail platform case study that evolves throughout the entire book, allowing you to see how real production systems grow, scale, and operate under pressure.Part of the Production Systems Engineering Series, this book is ideal for SQL developers, backend engineers, DBAs, data engineers, and software architects ready to move beyond basic SQL development into real production systems engineering.If you want to build scalable SQL systems that survive real-world workloads-not just pass tutorials-this book belongs on your desk.…

Taschenbuch. Condition: Neu. Neuware - Are you tired of SQL books that teach isolated commands but never show you how real SQL developers think, design queries, and solve business problems in production systems If you've struggled with: - confusing JOINs and subqueries- slow and unreadable queries- SQL concepts that never 'click'- analytical queries and window functions SQL- interview anxiety and real-world reporting tasks- turning raw SQL knowledge into professional skills.then this book was written for you.Practical T-SQL Mastery takes you beyond memorizing syntax and teaches you how to think like a professional SQL Server developer. Instead of shallow tutorials and disconnected examples, you'll learn how real relational systems operate - and how to build reliable, maintainable, and production-ready solutions using T-SQL programming, practical SQL queries, and modern SQL Server development workflows.Whether you are completely new to databases or searching for a stronger foundation in SQL Server for beginners, this book progressively guides you from core relational concepts to advanced reporting, analytical engineering, and optimization techniques used in real production environments.Inside this practical, hands-on guide, you will learn how to: - Master professional T-SQL programming from the ground up- Write clean and maintainable practical SQL queries- Build complex multi-table JOINs confidently- Develop strong SQL query design and relational thinking skills- Use advanced T-SQL techniques for reporting and analytics- Master window functions SQL workflows including ROW_NUMBER, RANK, LEAD, and LAG- Design scalable SQL reporting and analytics systems- Understand SQL Server query optimization and execution performance- Write cleaner, faster, and maintainable SQL code- Troubleshoot logical errors, performance bottlenecks, and query failures- Develop real-world production SQL workflows used in enterprise environments- Think like a professional SQL developer instead of a tutorial learnerUnlike many beginner SQL books that focus only on syntax, this guide emphasizes: - production-style query architecture- maintainable engineering practices- analytical SQL workflows- optimization awareness- business reporting systems- professional SQL development thinkingWhether you are an aspiring SQL developer, backend engineer, data analyst, BI professional, or computer science student, this book gives you the practical foundation needed to move from beginner confusion to professional SQL confidence.Stop memorizing queries. Start engineering real SQL Server solutions.Get your copy of Practical T-SQL Mastery today and begin building production-ready SQL Server development skills that translate directly into real-world capability. …

Taschenbuch. Condition: Neu. Neuware - Tired of Power BI books that teach charts but never explain how real enterprise analytics systems actually work Most books about Power BI dashboards focus only on visuals and basic reports. They rarely explain how Power BI and SQL Server work together inside real organizations to support scalable business intelligence with Power BI, enterprise reporting, KPI systems, and operational analytics workflows.If you have ever struggled with: - Slow dashboards- Broken relationships- Confusing DAX behavior- Inconsistent KPIs- Poor data models- Refresh failures- Cluttered reports- Scaling Power BI beyond small datasets.then this book was written for you.Power BI and SQL Server in Practice takes you beyond isolated dashboard development and teaches you how to think like a professional BI engineer and analytics architect.Instead of disconnected toy examples, you will build a complete enterprise retail analytics platform step by step while learning how modern SQL Server reporting environments, semantic models, KPI systems, and production reporting systems are designed, optimized, governed, and scaled professionally.Inside this book, you will learn how to: - Build production-grade Power BI dashboards and KPI systems- Design scalable semantic models and enterprise Power BI data modeling workflows- Connect Power BI and SQL Server using professional reporting architectures- Engineer reusable ETL and transformation pipelines with Power Query- Master DAX for Power BI, analytical calculations, and KPI engineering- Implement Power BI performance optimization strategies for large datasets and enterprise workloads- Structure enterprise reporting workflows for finance, operations, logistics, and executive teams- Design reliable business intelligence with Power BI systems for real organizations- Implement governance, security, role-based access, and reporting reliability strategies- Think operationally about scalability, workload coordination, and analytical trustworthiness- Transition from dashboard builder to professional BI engineerThis is not another beginner dashboard tutorial.This is a systems-oriented blueprint for building modern enterprise analytics environments professionally using Power BI, SQL Server, DAX, Power Query, KPI systems, and scalable reporting architectures.If you want to build analytics systems that go far beyond basic dashboards and operate like real enterprise reporting platforms, scroll up and get your copy today.…

Taschenbuch. Condition: Neu. Neuware - Tired of configuring Cisco devices manually while modern infrastructure moves at cloud speed Today's enterprise networks demand far more than repetitive CLI work. Organizations now expect engineers to automate deployments, validate configurations programmatically, integrate APIs, build scalable infrastructure pipelines, and manage networks like software systems.If you still rely heavily on manual workflows, inconsistent configurations, and reactive troubleshooting, you risk falling behind in the era of programmable infrastructure.Cisco Network Automation with Python gives you the practical, real-world skills needed to transition from traditional network administration into modern infrastructure automation engineering.Whether you are exploring NetDevOps for beginners, learning Python for network engineers, or searching for a complete Cisco automation engineer guide, this book delivers a structured roadmap for building production-ready automation workflows across modern enterprise environments.Instead of teaching isolated scripts with no operational context, this book walks you through: - Enterprise network automation- Network programmability with Python- RESTCONF and NETCONF automation- Network automation using Ansible- Cisco DevNet automation- and scalable Infrastructure as Code networking workflows used in real operational environments.Inside this book, you will learn how to: - Build scalable Cisco automation workflows with Python- Automate multi-device deployments using Netmiko and APIs- Work with REST APIs, RESTCONF, NETCONF, JSON, and structured infrastructure data- Design reusable Infrastructure as Code and automation frameworks- Deploy network automation using Ansible professionally- Build CI/CD pipelines for Cisco infrastructure automation- Automate compliance auditing and configuration validation- Create secure, observable, enterprise-grade automation systems- Integrate telemetry, monitoring, and operational intelligence- Develop real-world Cisco automation projects from scratch- Transition into modern NetDevOps and automation engineering rolesWhether you are a network engineer, systems administrator, DevOps professional, or infrastructure architect, this book provides a practical and production-focused approach to mastering modern Cisco automation workflows.This is more than a scripting tutorial.It is a complete roadmap for becoming a modern infrastructure automation engineer capable of designing scalable, observable, and enterprise-ready automation systems.Stop managing infrastructure one device at a time.Start building scalable automation systems that modern enterprises actually need.…

Paperback. Condition: new. Paperback. Most AI books teach you how to build models. Few teach you how to build AI systems that survive production.You've learned machine learning. You've experimented with neural networks. You've deployed a few projects. But when it comes to designing scalable Production AI Systems, implementing reliable AI Systems Architecture, managing inference services, integrating large language models, and operating intelligent applications in real-world environments, the gap between theory and production becomes painfully clear.Rust AI Engineering bridges that gap.This practical, systems-focused guide shows you how to move beyond experimentation and master Machine Learning with Rust, Rust Machine Learning, and modern AI Infrastructure Engineering using Rust's unmatched combination of performance, memory safety, concurrency, and reliability. From data pipelines and predictive analytics to LLM Engineering, vector search, Retrieval Augmented Generation, observability, cloud deployment, and end-to-end production projects, you'll learn how modern AI platforms are designed, optimized, deployed, and maintained at scale.Whether you're building predictive services, recommendation engines, intelligent search platforms, or enterprise knowledge assistants, this book provides a complete roadmap for Production Machine Learning, scalable AI infrastructure, and real-world AI operations.Inside this book, you'll learn how to: - Build production-ready machine learning applications using Rust- Master Machine Learning with Rust and modern Rust AI frameworks- Design scalable AI Systems Architecture for enterprise environments- Develop high-performance predictive models and intelligent services- Apply Production Machine Learning practices used in real-world organizations- Integrate LLMs, embeddings, vector databases, and Retrieval Augmented Generation workflows- Implement modern LLM Engineering patterns for production applications- Optimize concurrency, memory management, throughput, and resource efficiency- Build robust inference services, APIs, and distributed AI workloads- Deploy intelligent systems using proven AI Deployment and MLOps strategies- Monitor model quality, reliability, latency, and operational health- Create complete end-to-end AI projects inspired by real production environments- Transform from a model builder into a production-focused AI engineerUnlike books that focus only on algorithms, this guide emphasizes the complete lifecycle of modern AI systems-from data engineering and model development to deployment, monitoring, scalability, governance, and operational excellence.Whether you're a software engineer, machine learning practitioner, data engineer, MLOps professional, or AI enthusiast, you'll gain the skills needed to build intelligent systems that are not only accurate, but also scalable, maintainable, secure, and production-ready.Stop building AI experiments. Start building AI products.Get your copy of Rust AI Engineering today and learn how to design, build, optimize, deploy, and operate production-grade AI systems with Rust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Most SQL books teach queries. This book teaches production engineering.If you can write SQL but still struggle to build scalable, maintainable, and high-performance database systems under real enterprise pressure, you are not alone.Modern applications depend on complex transactional database systems that power APIs, dashboards, reporting platforms, analytics pipelines, and distributed backend services simultaneously. A query that works in development can become a production bottleneck under concurrency, scaling pressure, and operational complexity.Production SQL Architecture bridges the gap between writing SQL and engineering real production systems. Combining modern enterprise database design, production database engineering, and practical database systems architecture, this book teaches the systems-engineering mindset required for building reliable SQL environments at scale.Inside this book, you will learn how professional engineers approach: SQL Server performance optimizationexecution plans and indexing strategiesscalable query design and workload coordinationconcurrency management and transactional reliabilityobservability, monitoring, and deployment safetylong-term SQL scalability engineeringmaintainable backend database architectureWhat You'll LearnDesign scalable relational systems for enterprise workloadsBuild maintainable, production-grade SQL architecturesMaster execution plans, indexing, and query tuningPrevent blocking, deadlocks, and scalability bottlenecksEngineer reliable reporting and analytical workflowsThink like a production SQL architect-not just a query writerUnlike beginner SQL books built around disconnected examples, this book follows a continuous enterprise retail platform case study that evolves throughout the entire book, allowing you to see how real production systems grow, scale, and operate under pressure.Part of the Production Systems Engineering Series, this book is ideal for SQL developers, backend engineers, DBAs, data engineers, and software architects ready to move beyond basic SQL development into real production systems engineering.If you want to build scalable SQL systems that survive real-world workloads-not just pass tutorials-this book belongs on your desk. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Are you tired of SQL books that teach isolated commands but never show you how real SQL developers think, design queries, and solve business problems in production systems?If you've struggled with: confusing JOINs and subqueriesslow and unreadable queriesSQL concepts that never "click"analytical queries and window functions SQLinterview anxiety and real-world reporting tasksturning raw SQL knowledge into professional skills.then this book was written for you.Practical T-SQL Mastery takes you beyond memorizing syntax and teaches you how to think like a professional SQL Server developer. Instead of shallow tutorials and disconnected examples, you'll learn how real relational systems operate - and how to build reliable, maintainable, and production-ready solutions using T-SQL programming, practical SQL queries, and modern SQL Server development workflows.Whether you are completely new to databases or searching for a stronger foundation in SQL Server for beginners, this book progressively guides you from core relational concepts to advanced reporting, analytical engineering, and optimization techniques used in real production environments.Inside this practical, hands-on guide, you will learn how to: Master professional T-SQL programming from the ground upWrite clean and maintainable practical SQL queriesBuild complex multi-table JOINs confidentlyDevelop strong SQL query design and relational thinking skillsUse advanced T-SQL techniques for reporting and analyticsMaster window functions SQL workflows including ROW_NUMBER, RANK, LEAD, and LAGDesign scalable SQL reporting and analytics systemsUnderstand SQL Server query optimization and execution performanceWrite cleaner, faster, and maintainable SQL codeTroubleshoot logical errors, performance bottlenecks, and query failuresDevelop real-world production SQL workflows used in enterprise environmentsThink like a professional SQL developer instead of a tutorial learnerUnlike many beginner SQL books that focus only on syntax, this guide emphasizes: production-style query architecturemaintainable engineering practicesanalytical SQL workflowsoptimization awarenessbusiness reporting systemsprofessional SQL development thinkingWhether you are an aspiring SQL developer, backend engineer, data analyst, BI professional, or computer science student, this book gives you the practical foundation needed to move from beginner confusion to professional SQL confidence.Stop memorizing queries. Start engineering real SQL Server solutions.Get your copy of Practical T-SQL Mastery today and begin building production-ready SQL Server development skills that translate directly into real-world capability. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Tired of configuring Cisco devices manually while modern infrastructure moves at cloud speed?Today's enterprise networks demand far more than repetitive CLI work. Organizations now expect engineers to automate deployments, validate configurations programmatically, integrate APIs, build scalable infrastructure pipelines, and manage networks like software systems.If you still rely heavily on manual workflows, inconsistent configurations, and reactive troubleshooting, you risk falling behind in the era of programmable infrastructure.Cisco Network Automation with Python gives you the practical, real-world skills needed to transition from traditional network administration into modern infrastructure automation engineering.Whether you are exploring NetDevOps for beginners, learning Python for network engineers, or searching for a complete Cisco automation engineer guide, this book delivers a structured roadmap for building production-ready automation workflows across modern enterprise environments.Instead of teaching isolated scripts with no operational context, this book walks you through: Enterprise network automationNetwork programmability with PythonRESTCONF and NETCONF automationNetwork automation using AnsibleCisco DevNet automationand scalable Infrastructure as Code networking workflows used in real operational environments.Inside this book, you will learn how to: Build scalable Cisco automation workflows with PythonAutomate multi-device deployments using Netmiko and APIsWork with REST APIs, RESTCONF, NETCONF, JSON, and structured infrastructure dataDesign reusable Infrastructure as Code and automation frameworksDeploy network automation using Ansible professionallyBuild CI/CD pipelines for Cisco infrastructure automationAutomate compliance auditing and configuration validationCreate secure, observable, enterprise-grade automation systemsIntegrate telemetry, monitoring, and operational intelligenceDevelop real-world Cisco automation projects from scratchTransition into modern NetDevOps and automation engineering rolesWhether you are a network engineer, systems administrator, DevOps professional, or infrastructure architect, this book provides a practical and production-focused approach to mastering modern Cisco automation workflows.This is more than a scripting tutorial.It is a complete roadmap for becoming a modern infrastructure automation engineer capable of designing scalable, observable, and enterprise-ready automation systems.Stop managing infrastructure one device at a time.Start building scalable automation systems that modern enterprises actually need. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.