Author: Vathsala Periyasamy
Publisher: Libertatem Media Private Limited
ISBN: 8197138222
Category : Computers
Languages : en
Pages : 79
Book Description
Join us as we begin our detailed exploration of AWS security in this extensive guide. As cloud computing continues to transform, offering adaptable, flexible, and cost-effective solutions, the importance of security within this realm has significantly increased. This manuscript is a comprehensive exploration of AWS security, a crucial element that strengthens all aspects of cloud operations, from infrastructure to application tiers, ensuring you have a complete understanding of the topic. This book is crafted to cater to novices and seasoned experts in cloud security. We commence by establishing a fundamental comprehension of AWS's framework and the intrinsic security protocols interwoven within it. We scrutinize distinct AWS services, dissecting their functions, potential susceptibilities, and optimal methodologies for fortifying them. Each segment is tailored to furnish you with pragmatic insights and executable tactics to strengthen the security stance of your AWS environments. Whether you are a security custodian, an IT expert, or a corporate leader overseeing cloud ventures, this compendium will be your invaluable resource. It combines scholarly perspectives, real-world examples, and detailed explanations to help you navigate the complexities of AWS security. By the end of this compendium, you will not only have a solid understanding of how to establish resilient security frameworks and adhere to regulations, but also practical, actionable strategies to protect your organization's data from emerging threats in the cloud environment. We aspire to cultivate a profound insight into cloud security tenets, enabling you to make judicious determinations and adeptly mitigate risks. Embark on this odyssey towards mastering AWS security, certifying that you and your cohort are well-equipped to safeguard your cloud assets and bolster your organization's strategic aims in the cloud-centric era.
AWS Security Handbook: Safeguarding Your Cloud Assets
Author: Vathsala Periyasamy
Publisher: Libertatem Media Private Limited
ISBN: 8197138222
Category : Computers
Languages : en
Pages : 79
Book Description
Join us as we begin our detailed exploration of AWS security in this extensive guide. As cloud computing continues to transform, offering adaptable, flexible, and cost-effective solutions, the importance of security within this realm has significantly increased. This manuscript is a comprehensive exploration of AWS security, a crucial element that strengthens all aspects of cloud operations, from infrastructure to application tiers, ensuring you have a complete understanding of the topic. This book is crafted to cater to novices and seasoned experts in cloud security. We commence by establishing a fundamental comprehension of AWS's framework and the intrinsic security protocols interwoven within it. We scrutinize distinct AWS services, dissecting their functions, potential susceptibilities, and optimal methodologies for fortifying them. Each segment is tailored to furnish you with pragmatic insights and executable tactics to strengthen the security stance of your AWS environments. Whether you are a security custodian, an IT expert, or a corporate leader overseeing cloud ventures, this compendium will be your invaluable resource. It combines scholarly perspectives, real-world examples, and detailed explanations to help you navigate the complexities of AWS security. By the end of this compendium, you will not only have a solid understanding of how to establish resilient security frameworks and adhere to regulations, but also practical, actionable strategies to protect your organization's data from emerging threats in the cloud environment. We aspire to cultivate a profound insight into cloud security tenets, enabling you to make judicious determinations and adeptly mitigate risks. Embark on this odyssey towards mastering AWS security, certifying that you and your cohort are well-equipped to safeguard your cloud assets and bolster your organization's strategic aims in the cloud-centric era.
Publisher: Libertatem Media Private Limited
ISBN: 8197138222
Category : Computers
Languages : en
Pages : 79
Book Description
Join us as we begin our detailed exploration of AWS security in this extensive guide. As cloud computing continues to transform, offering adaptable, flexible, and cost-effective solutions, the importance of security within this realm has significantly increased. This manuscript is a comprehensive exploration of AWS security, a crucial element that strengthens all aspects of cloud operations, from infrastructure to application tiers, ensuring you have a complete understanding of the topic. This book is crafted to cater to novices and seasoned experts in cloud security. We commence by establishing a fundamental comprehension of AWS's framework and the intrinsic security protocols interwoven within it. We scrutinize distinct AWS services, dissecting their functions, potential susceptibilities, and optimal methodologies for fortifying them. Each segment is tailored to furnish you with pragmatic insights and executable tactics to strengthen the security stance of your AWS environments. Whether you are a security custodian, an IT expert, or a corporate leader overseeing cloud ventures, this compendium will be your invaluable resource. It combines scholarly perspectives, real-world examples, and detailed explanations to help you navigate the complexities of AWS security. By the end of this compendium, you will not only have a solid understanding of how to establish resilient security frameworks and adhere to regulations, but also practical, actionable strategies to protect your organization's data from emerging threats in the cloud environment. We aspire to cultivate a profound insight into cloud security tenets, enabling you to make judicious determinations and adeptly mitigate risks. Embark on this odyssey towards mastering AWS security, certifying that you and your cohort are well-equipped to safeguard your cloud assets and bolster your organization's strategic aims in the cloud-centric era.
Handbook of Structural Welding
Author: J. F. Lancaster
Publisher: Woodhead Publishing
ISBN: 9781855733435
Category : Technology & Engineering
Languages : en
Pages : 452
Book Description
This handbook provides a comprehensive analysis of the current state of welding technology as applied to large structures and process plant. The author takes account of the increasing necessity for engineers at all levels to be aware of problems such as fatigue failure and provides advice.
Publisher: Woodhead Publishing
ISBN: 9781855733435
Category : Technology & Engineering
Languages : en
Pages : 452
Book Description
This handbook provides a comprehensive analysis of the current state of welding technology as applied to large structures and process plant. The author takes account of the increasing necessity for engineers at all levels to be aware of problems such as fatigue failure and provides advice.
LLM Engineer's Handbook
Author: Paul Iusztin
Publisher: Packt Publishing Ltd
ISBN: 1836200064
Category : Computers
Languages : en
Pages : 523
Book Description
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
Publisher: Packt Publishing Ltd
ISBN: 1836200064
Category : Computers
Languages : en
Pages : 523
Book Description
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
Cybersecurity Architect's Handbook
Author: Lester Nichols
Publisher: Packt Publishing Ltd
ISBN: 1803239891
Category : Computers
Languages : en
Pages : 494
Book Description
Discover the ins and outs of cybersecurity architecture with this handbook, designed to enhance your expertise in implementing and maintaining robust security structures for the ever-evolving digital landscape Key Features Gain insights into the cybersecurity architect role and master key skills to excel in it Acquire a diverse skill set for becoming a cybersecurity architect through up-to-date, practical examples Discover valuable tips and best practices to launch your career in cybersecurity Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionStepping into the role of a Cybersecurity Architect (CSA) is no mean feat, as it requires both upskilling and a fundamental shift in the way you view cybersecurity altogether. Cybersecurity Architect’s Handbook is an all-encompassing guide, introducing the essential skills for aspiring CSAs, outlining a path for cybersecurity engineers and newcomers to evolve into architects, and sharing best practices to enhance the skills of existing CSAs. Following a brief introduction to the role and foundational concepts, this book will help you understand the day-to-day challenges faced by CSAs, supported by practical examples. You'll gain insights into assessing and improving your organization’s security posture, concerning system, hardware, and software security. You'll also get to grips with setting user and system policies and protocols through effective monitoring and enforcement, along with understanding countermeasures that protect the system from unauthorized access attempts. To prepare you for the road ahead and augment your existing skills, the book provides invaluable tips and practices that will contribute to your success as a CSA. By the end of this book, you’ll be well-equipped to take up the CSA role and execute robust security solutions.What you will learn Get to grips with the foundational concepts and basics of cybersecurity Understand cybersecurity architecture principles through scenario-based examples Navigate the certification landscape and understand key considerations for getting certified Implement zero-trust authentication with practical examples and best practices Find out how to choose commercial and open source tools Address architecture challenges, focusing on mitigating threats and organizational governance Who this book is for This book is for cybersecurity professionals looking to transition into a cybersecurity architect role. Solution architects interested in understanding the scope of the role and the necessary skills for success will also find this book useful.
Publisher: Packt Publishing Ltd
ISBN: 1803239891
Category : Computers
Languages : en
Pages : 494
Book Description
Discover the ins and outs of cybersecurity architecture with this handbook, designed to enhance your expertise in implementing and maintaining robust security structures for the ever-evolving digital landscape Key Features Gain insights into the cybersecurity architect role and master key skills to excel in it Acquire a diverse skill set for becoming a cybersecurity architect through up-to-date, practical examples Discover valuable tips and best practices to launch your career in cybersecurity Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionStepping into the role of a Cybersecurity Architect (CSA) is no mean feat, as it requires both upskilling and a fundamental shift in the way you view cybersecurity altogether. Cybersecurity Architect’s Handbook is an all-encompassing guide, introducing the essential skills for aspiring CSAs, outlining a path for cybersecurity engineers and newcomers to evolve into architects, and sharing best practices to enhance the skills of existing CSAs. Following a brief introduction to the role and foundational concepts, this book will help you understand the day-to-day challenges faced by CSAs, supported by practical examples. You'll gain insights into assessing and improving your organization’s security posture, concerning system, hardware, and software security. You'll also get to grips with setting user and system policies and protocols through effective monitoring and enforcement, along with understanding countermeasures that protect the system from unauthorized access attempts. To prepare you for the road ahead and augment your existing skills, the book provides invaluable tips and practices that will contribute to your success as a CSA. By the end of this book, you’ll be well-equipped to take up the CSA role and execute robust security solutions.What you will learn Get to grips with the foundational concepts and basics of cybersecurity Understand cybersecurity architecture principles through scenario-based examples Navigate the certification landscape and understand key considerations for getting certified Implement zero-trust authentication with practical examples and best practices Find out how to choose commercial and open source tools Address architecture challenges, focusing on mitigating threats and organizational governance Who this book is for This book is for cybersecurity professionals looking to transition into a cybersecurity architect role. Solution architects interested in understanding the scope of the role and the necessary skills for success will also find this book useful.
The Machine Learning Solutions Architect Handbook
Author: David Ping
Publisher: Packt Publishing Ltd
ISBN: 1801070415
Category : Computers
Languages : en
Pages : 442
Book Description
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.
Publisher: Packt Publishing Ltd
ISBN: 1801070415
Category : Computers
Languages : en
Pages : 442
Book Description
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.
The CUDA Handbook
Author: Nicholas Wilt
Publisher: Pearson Education
ISBN: 0321809467
Category : Computers
Languages : en
Pages : 526
Book Description
'The CUDA Handbook' begins where 'CUDA by Example' leaves off, discussing both CUDA hardware and software in detail that will engage any CUDA developer, from the casual to the most hardcore. Newer CUDA developers will see how the hardware processes commands and the driver checks progress; hardcore CUDA developers will appreciate topics such as the driver API, context migration, and how best to structure CPU/GPU data interchange and synchronization. The book is partly a reference resource and partly a cookbook.
Publisher: Pearson Education
ISBN: 0321809467
Category : Computers
Languages : en
Pages : 526
Book Description
'The CUDA Handbook' begins where 'CUDA by Example' leaves off, discussing both CUDA hardware and software in detail that will engage any CUDA developer, from the casual to the most hardcore. Newer CUDA developers will see how the hardware processes commands and the driver checks progress; hardcore CUDA developers will appreciate topics such as the driver API, context migration, and how best to structure CPU/GPU data interchange and synchronization. The book is partly a reference resource and partly a cookbook.
Solutions Architect's Handbook
Author: Saurabh Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1801819068
Category : Computers
Languages : en
Pages : 589
Book Description
Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.
Publisher: Packt Publishing Ltd
ISBN: 1801819068
Category : Computers
Languages : en
Pages : 589
Book Description
Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.
Cloud Migration Handbook Vol. 1: A Practical Guide to Successful Cloud Adoption and Migration
Author: José Antonio Hernández
Publisher: Lulu.com
ISBN: 1684709237
Category : Computers
Languages : en
Pages : 280
Book Description
This book covers a practical approach for adopting and migrating on premises systems and applications to the Public Cloud. Based on a clear migration master plan, it helps companies and enterprises to be prepared for Cloud computing, what and how to successfully migrate or deploy systems on Cloud, preparing your IT organization with a sound Cloud Governance model, Security in the Cloud and how to reach the benefits of Cloud computing by automation and optimizing your cost and workloads.
Publisher: Lulu.com
ISBN: 1684709237
Category : Computers
Languages : en
Pages : 280
Book Description
This book covers a practical approach for adopting and migrating on premises systems and applications to the Public Cloud. Based on a clear migration master plan, it helps companies and enterprises to be prepared for Cloud computing, what and how to successfully migrate or deploy systems on Cloud, preparing your IT organization with a sound Cloud Governance model, Security in the Cloud and how to reach the benefits of Cloud computing by automation and optimizing your cost and workloads.
Roofing and Cladding Systems Handbook
Author: Reid
Publisher: CRC Press
ISBN: 9780824709068
Category : Science
Languages : en
Pages : 296
Book Description
1-Weather Effects on Roofing Systems2-Understanding Your Roofing and Cladding Systems3-Building Envelope & Roofing Structure4-Roofing Construction Materials5-Insulation & Waterproofing Membranes6-Energy System Calculations7-Fasteners & Flashings: Holding the Roof on the Roof8-Penetrations Through the Roofing System9-Roofing Project Management10-Convention and Unconventional Roofing Structures11-Warranty and Maintenance of Roofing Systems12-Roofing People13-Roofing Safety & Liability14-Industry Trade AssociationsGlossary of Roofing TerminologyBibliographyIndex
Publisher: CRC Press
ISBN: 9780824709068
Category : Science
Languages : en
Pages : 296
Book Description
1-Weather Effects on Roofing Systems2-Understanding Your Roofing and Cladding Systems3-Building Envelope & Roofing Structure4-Roofing Construction Materials5-Insulation & Waterproofing Membranes6-Energy System Calculations7-Fasteners & Flashings: Holding the Roof on the Roof8-Penetrations Through the Roofing System9-Roofing Project Management10-Convention and Unconventional Roofing Structures11-Warranty and Maintenance of Roofing Systems12-Roofing People13-Roofing Safety & Liability14-Industry Trade AssociationsGlossary of Roofing TerminologyBibliographyIndex
CSRS and FERS Handbook for Personnel and Payroll Offices
Author:
Publisher:
ISBN:
Category : Civil service
Languages : en
Pages : 458
Book Description
Publisher:
ISBN:
Category : Civil service
Languages : en
Pages : 458
Book Description