Caleb Reid (40 results)

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

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

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

Paperback. Condition: new. Paperback. Business intelligence is no longer just about building dashboards.Modern organizations expect data to be accurate, available when it is needed, scalable as the business grows, and trustworthy enough to support financial, operational, and strategic decisions. Behind every reliable dashboard is an engineering system-and building that system requires much more than knowing SQL or a BI tool.Modern BI Engineering is a practical guide to designing, building, and operating the data infrastructure that turns raw business data into reliable, actionable intelligence.Instead of focusing on isolated tools or simplistic tutorials, this book takes you through the complete BI engineering lifecycle: from source systems and data ingestion to transformation, data modeling, warehousing, orchestration, semantic layers, dashboards, governance, security, and production operations.You will learn how the different pieces fit together-and, more importantly, why the decisions made at one stage can affect everything downstream.Inside the Book, You Will Learn How To: Understand the evolution of modern business intelligence and the architecture behind today's data platformsDesign reliable ETL and ELT pipelines for real-world data environmentsWork with relational databases, APIs, files, application data, and external data sourcesChoose between batch, incremental, and real-time ingestion strategiesClean, standardize, validate, and transform messy business dataHandle missing values, duplicates, outliers, inconsistent records, and changing source schemasDesign dimensional models and star schemas using fact and dimension tablesImplement and reason about slowly changing dimensionsOrchestrate complex pipelines with dependencies, scheduling, retries, backfills, and automationMonitor pipelines through logging, observability, and operational reliability practicesDesign semantic layers that keep business metrics consistent across reports and dashboardsBuild effective dashboards, reports, KPIs, and self-service analytics environmentsUnderstand the role of cloud data warehouses, data lakes, lakehouses, and medallion architectureExplore distributed processing, streaming, and near-real-time analyticsApply data security, access control, privacy, governance, metadata, lineage, and responsible analytics practicesIntroduce testing, version control, CI/CD, deployment, performance optimization, scalability, and cost management into BI systemsThink beyond individual pipelines and design complete enterprise BI platformsFollow an end-to-end journey from raw data to an executive dashboardThis book focuses on that reality.You will encounter the engineering problems that often get ignored in introductory BI material: what happens when a pipeline runs twice, when data arrives late, when an upstream system changes unexpectedly, when historical records need to remain accurate, or when two departments calculate the same business metric differently.The goal is not simply to show you how something works, but to help you understand why it works, what can go wrong, and how to design systems that can be trusted.It is particularly suited for: Data engineersBI developersAnalytics engineersData analystsSoftware engineersSelf-taught data professionalsExperienced engineersAdvanced students and technical professionalsYou do not need to master every technology mentioned in the book. The emphasis is on the engineering principles, architectural patterns, trade-offs, a 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. Established seller since 2000.

Paperback. Condition: new. Paperback. Build a deeper understanding of the machines, control systems, robotics, and intelligent technologies shaping modern engineering.Modern machines are no longer purely mechanical. They sense their environment, process information, make decisions, control motion, communicate with other systems, and increasingly use artificial intelligence to predict problems before they happen.That is the world of mechatronics.But learning mechatronics can be frustrating. Mechanical engineering, electronics, programming, sensors, control theory, robotics, and industrial automation are often taught as separate subjects-even though real machines depend on all of them working together.Applied Mechatronics Engineering brings those disciplines together into one practical, systems-level guide.Rather than treating motors, sensors, microcontrollers, control algorithms, PLCs, and robotic mechanisms as isolated topics, this book shows how they interact to create functioning machines. You will develop the ability to follow the complete engineering chain-from a physical phenomenon being measured, through signal processing and computation, to a controller commanding an actuator and producing a real physical response.Inside the BookYou will progressively explore: The foundations and engineering principles of modern mechatronicsMechanical systems, forces, motion, torque, power, gears, linkages, shafts, and bearingsElectrical and electronic systems used in mechatronic machinesSensors, measurement, signal conditioning, calibration, and data acquisitionDC, stepper, servo, and brushless motors and their controlMicrocontrollers, embedded systems, timers, interrupts, PWM, and ADCFeedback control, stability, digital control, and PID controllersDigital signal processing and real-time measurementUART, I2C, SPI, CAN, Modbus, and industrial communicationRobotic architectures, coordinate systems, forward and inverse kinematicsRobot trajectory planning and end-effector controlPLC architecture and industrial controlLadder logic, timers, counters, sequencing, and interlocksHMI, SCADA, and automated production systemsMachine vision and intelligent sensingArtificial intelligence, machine learning, and predictive maintenanceIndustrial IoT and connected manufacturingSystem integration, prototyping, testing, troubleshooting, safety, and reliabilityMore Than a Collection of Technical TopicsThe real value of this book is the connection between the topics.A sensor is not useful simply because you understand how it works. You need to understand how its signal reaches a controller, how that signal is interpreted, how noise and sampling affect the measurement, how a control algorithm responds to it, and how the resulting command ultimately affects a physical actuator.Likewise, selecting a motor is not simply a matter of finding one with enough torque. Voltage requirements, mechanical mounting, feedback signals, controller compatibility, communication interfaces, load characteristics, and the rest of the system all have to work together.The book also takes mechatronics beyond traditional automation.You will see how conventional sensor-and-control systems evolve into intelligent manufacturing environments through machine vision, condition monitoring, predictive maintenance, artificial intelligence, machine learning, and Industrial IoT technologies.The progression is deliberate: Mechanical Systems Electronics Sensors Actuators Embedded Systems Control Communication Robotics Industrial Automation Intelligent ManufacturingBy the final chapters, these ind 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. Established seller since 2000.

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

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

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

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

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

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

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

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

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

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

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

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

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

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Business intelligence is no longer just about building dashboards.Modern organizations expect data to be accurate, available when it is needed, scalable as the business grows, and trustworthy enough to support financial, operational, and strategic decisions. Behind every reliable dashboard is an engineering system-and building that system requires much more than knowing SQL or a BI tool.Modern BI Engineering is a practical guide to designing, building, and operating the data infrastructure that turns raw business data into reliable, actionable intelligence.Instead of focusing on isolated tools or simplistic tutorials, this book takes you through the complete BI engineering lifecycle: from source systems and data ingestion to transformation, data modeling, warehousing, orchestration, semantic layers, dashboards, governance, security, and production operations.You will learn how the different pieces fit together-and, more importantly, why the decisions made at one stage can affect everything downstream.Inside the Book, You Will Learn How To: Understand the evolution of modern business intelligence and the architecture behind today's data platformsDesign reliable ETL and ELT pipelines for real-world data environmentsWork with relational databases, APIs, files, application data, and external data sourcesChoose between batch, incremental, and real-time ingestion strategiesClean, standardize, validate, and transform messy business dataHandle missing values, duplicates, outliers, inconsistent records, and changing source schemasDesign dimensional models and star schemas using fact and dimension tablesImplement and reason about slowly changing dimensionsOrchestrate complex pipelines with dependencies, scheduling, retries, backfills, and automationMonitor pipelines through logging, observability, and operational reliability practicesDesign semantic layers that keep business metrics consistent across reports and dashboardsBuild effective dashboards, reports, KPIs, and self-service analytics environmentsUnderstand the role of cloud data warehouses, data lakes, lakehouses, and medallion architectureExplore distributed processing, streaming, and near-real-time analyticsApply data security, access control, privacy, governance, metadata, lineage, and responsible analytics practicesIntroduce testing, version control, CI/CD, deployment, performance optimization, scalability, and cost management into BI systemsThink beyond individual pipelines and design complete enterprise BI platformsFollow an end-to-end journey from raw data to an executive dashboardThis book focuses on that reality.You will encounter the engineering problems that often get ignored in introductory BI material: what happens when a pipeline runs twice, when data arrives late, when an upstream system changes unexpectedly, when historical records need to remain accurate, or when two departments calculate the same business metric differently.The goal is not simply to show you how something works, but to help you understand why it works, what can go wrong, and how to design systems that can be trusted.It is particularly suited for: Data engineersBI developersAnalytics engineersData analystsSoftware engineersSelf-taught data professionalsExperienced engineersAdvanced students and technical professionalsYou do not need to master every technology mentioned in the book. The emphasis is on the engineering principles, architectural patterns, Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condition: new. Paperback. Build a deeper understanding of the machines, control systems, robotics, and intelligent technologies shaping modern engineering.Modern machines are no longer purely mechanical. They sense their environment, process information, make decisions, control motion, communicate with other systems, and increasingly use artificial intelligence to predict problems before they happen.That is the world of mechatronics.But learning mechatronics can be frustrating. Mechanical engineering, electronics, programming, sensors, control theory, robotics, and industrial automation are often taught as separate subjects-even though real machines depend on all of them working together.Applied Mechatronics Engineering brings those disciplines together into one practical, systems-level guide.Rather than treating motors, sensors, microcontrollers, control algorithms, PLCs, and robotic mechanisms as isolated topics, this book shows how they interact to create functioning machines. You will develop the ability to follow the complete engineering chain-from a physical phenomenon being measured, through signal processing and computation, to a controller commanding an actuator and producing a real physical response.Inside the BookYou will progressively explore: The foundations and engineering principles of modern mechatronicsMechanical systems, forces, motion, torque, power, gears, linkages, shafts, and bearingsElectrical and electronic systems used in mechatronic machinesSensors, measurement, signal conditioning, calibration, and data acquisitionDC, stepper, servo, and brushless motors and their controlMicrocontrollers, embedded systems, timers, interrupts, PWM, and ADCFeedback control, stability, digital control, and PID controllersDigital signal processing and real-time measurementUART, I2C, SPI, CAN, Modbus, and industrial communicationRobotic architectures, coordinate systems, forward and inverse kinematicsRobot trajectory planning and end-effector controlPLC architecture and industrial controlLadder logic, timers, counters, sequencing, and interlocksHMI, SCADA, and automated production systemsMachine vision and intelligent sensingArtificial intelligence, machine learning, and predictive maintenanceIndustrial IoT and connected manufacturingSystem integration, prototyping, testing, troubleshooting, safety, and reliabilityMore Than a Collection of Technical TopicsThe real value of this book is the connection between the topics.A sensor is not useful simply because you understand how it works. You need to understand how its signal reaches a controller, how that signal is interpreted, how noise and sampling affect the measurement, how a control algorithm responds to it, and how the resulting command ultimately affects a physical actuator.Likewise, selecting a motor is not simply a matter of finding one with enough torque. Voltage requirements, mechanical mounting, feedback signals, controller compatibility, communication interfaces, load characteristics, and the rest of the system all have to work together.The book also takes mechatronics beyond traditional automation.You will see how conventional sensor-and-control systems evolve into intelligent manufacturing environments through machine vision, condition monitoring, predictive maintenance, artificial intelligence, machine learning, and Industrial IoT technologies.The progression is deliberate: Mechanical Systems Electronics Sensors Actuators Embedded Systems Control Communication Robotics Industrial Automation Intelligent ManufacturingBy the final chapte Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. your car suddenly refuses to start, loses power, or shows warning lights you don't understand, it can feel frustrating and expensive. But what if you could diagnose the problem yourself before heading to a mechanic?Automotive Diagnostics for Beginners is your practical, no-confusion guide to understanding and troubleshooting common car problems with confidence.This book breaks down complex automotive systems into simple, easy-to-follow explanations, making it perfect for beginners with little or no technical experience. You will learn how your car works, how to spot early warning signs, and how to identify issues using a clear, step-by-step approach. Inside, you'll discover how to: Understand dashboard warning lights and error codesDiagnose engine, electrical, and performance problemsIdentify unusual sounds, smells, and vibrationsUse basic tools like an OBD2 scanner effectivelyTroubleshoot real-life car issues with confidenceWhether you want to save money on repairs, avoid unnecessary mechanic visits, or simply understand your vehicle better, this book gives you the knowledge and confidence to take control. Stop guessing. Start diagnosing. 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.

Condition: New. Print on Demand.