Cloud Data Architectures Demystified
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Cloud Data Architectures Demystified
Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization KEY FEATURES ● Get familiar with the fundamentals of data architecture and Cloud computing. ● Design and deploy enterprise data architectures on the Cloud. ● Learn how to leverage AI/ML to gain insights from data. DESCRIPTION Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By understanding the different components of Cloud data architectures and the benefits they offer, organizations can select the right architecture for their needs. This book is a holistic guide for using Cloud data technologies to ingest, transform, and analyze data. It covers the entire data lifecycle, from collecting data to transforming it into actionable insights. The readers will get a comprehensive overview of Cloud data technologies and AI/ML algorithms. The readers will learn how to use these technologies and algorithms to improve decision-making, optimize operations, and identify new opportunities. By the end of the book, you will have a comprehensive understanding of loud data architectures and the confidence to implement effective solutions that drive business success. WHAT YOU WILL LEARN ● Learn the fundamental principles of data architecture. ● Understand the working of different cloud ecosystems such as AWS, Azure & GCP. ● Explore different Snowflake data services. ● Learn how to implement data governance policies and procedures. ● Use artificial intelligence (AI) and machine learning (ML) to gain insights from data. WHO THIS BOOK IS FOR This book is for executives, IT professionals, and data enthusiasts who want to learn more about Cloud data architectures. It does not require any prior experience, but a basic understanding of data concepts and technology landscapes will be helpful. TABLE OF CONTENTS 1. Data Architectures and Patterns 2. Enterprise Data Architectures 3. Cloud Fundamentals 4. Azure Data Eco-system 5. AWS Data Services 6. Google Data Services 7. Snowflake Data Eco-system 8. Data Governance 9. Data Intelligence: AI-ML Modeling and Services
Cloud Architecture Demystified
Design, deploy, and manage cloud-based solutions that are secure, scalable, and cost-effective KEY FEATURES ● Learn how to enable effective architectural decision-making and cloud deployment strategies within the context of Agile DevOps. ● Gain insights into unconventional principles and practices of architecture in the modern era. ● A comprehensive guide for CTOs and technology leaders to navigate the ever-evolving technology landscape. DESCRIPTION As more and more businesses move their operations to the cloud, understanding cloud architecture becomes crucial for anyone involved in IT, software development, or data management. If you want to leverage the power of the cloud to deliver efficient and resilient services, then this book is for you. This book is a comprehensive guide that will help you with the knowledge and insights to successfully navigate the challenges of Agile development and cloud computing. With its practical advice and in-depth analysis, this book offers a deep understanding of key topics such as multi-cloud adoption, cloud deployment costs, security considerations, availability and disaster recovery, and the integration of Agile methodologies with cloud architecture. It also explores the traits of a good cloud solution architect, the importance of treating data and databases separately, and the impact of public cloud on software architecture. Whether you're a seasoned architect or new to cloud solutions, this book provides valuable guidance for designing robust and effective cloud-based systems. WHAT YOU WILL LEARN ● Gain insights into assessing various aspects while designing cloud deployments. ● Understand the intersection of Agile methodologies, DevOps practices, and cloud computing. ● Understand the importance of adopting a design-first mindset. ● Understand how Agile principles and practices impact software architecture. ● Discover how architects can effectively drive positive change within organizations. WHO THIS BOOK IS FOR The book is for CTOs who are responsible for making strategic decisions regarding cloud adoption and infrastructure. Cloud architects, infrastructure architects, and DevOps architects who are involved in designing and implementing cloud architectures will find this book helpful. TABLE OF CONTENTS 1. Ambivalence of Multi-Cloud 2. Cloud Deployment Costs 3. Security Sense of Cloud 4. Availability and Disaster Recovery 5. Cloud, Agile and Software Development Life Cycle 6. Retrofitting Cloud Services Accurately 7. Design First then Code 8. Infra Team and Apps Team Becomes DevOps Team 9. Traits of Being a Good Cloud Solution Architect 10. Treat Data and Database Separately 11. Frozen Architecture is Obsolete Architecture 12. What Exactly is Software Architecture?
Cloud Computing Demystified for Aspiring Professionals
Author: David Santana
language: en
Publisher: Packt Publishing Ltd
Release Date: 2023-03-24
Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.