Modern Data Architecture On Azure
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Modern Data Architecture On Azure
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Author : Sagar Lad
language : en
Publisher: Apress
Release Date : 2023-11-08
Modern Data Architecture On Azure written by Sagar Lad and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-08 with Computers categories.
This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you’ll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. What Will You Learn Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management Who Is This Book For: Data solution architects, data engineers, and IT consultants who want to gain a better understanding of modern data architecture design and implementation on Azure.
Azure Modern Data Architecture
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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :
Azure Modern Data Architecture written by Anouar BEN ZAHRA and has been published by Anouar BEN ZAHRA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Key Features Discover the key drivers of successful Azure architecture Practical guidance Focus on scalability and performance Expert authorship Book Description This book presents a guide to design and implement scalable, secure, and efficient data solutions in the Azure cloud environment. It provides Data Architects, developers, and IT professionals who are responsible for designing and implementing data solutions in the Azure cloud environment with the knowledge and tools needed to design and implement data solutions using the latest Azure data services. It covers a wide range of topics, including data storage, data processing, data analysis, and data integration. In this book, you will learn how to select the appropriate Azure data services, design a data processing pipeline, implement real-time data processing, and implement advanced analytics using Azure Databricks and Azure Synapse Analytics. You will also learn how to implement data security and compliance, including data encryption, access control, and auditing. Whether you are building a new data architecture from scratch or migrating an existing on premises solution to Azure, the Azure Data Architecture Guidelines are an essential resource for any organization looking to harness the power of data in the cloud. With these guidelines, you will gain a deep understanding of the principles and best practices of Azure data architecture and be equipped to build data solutions that are highly scalable, secure, and cost effective. What You Need to Use this Book? To use this book, it is recommended that readers have a basic understanding of data architecture concepts and data management principles. Some familiarity with cloud computing and Azure services is also helpful. The book is designed for data architects, data engineers, data analysts, and anyone involved in designing, implementing, and managing data solutions on the Azure cloud platform. It is also suitable for students and professionals who want to learn about Azure data architecture and its best practices.
The Azure Cloud Native Architecture Mapbook
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Author : Stephane Eyskens
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-17
The Azure Cloud Native Architecture Mapbook written by Stephane Eyskens and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Computers categories.
Improve your Azure architecture practice and set out on a cloud and cloud-native journey with this Azure cloud native architecture guide Key FeaturesDiscover the key drivers of successful Azure architectureImplement architecture maps as a compass to tackle any challengeUnderstand architecture maps in detail with the help of practical use casesBook Description Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements. Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security. By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives. What you will learnGain overarching architectural knowledge of the Microsoft Azure cloud platformExplore the possibilities of building a full Azure solution by considering different architectural perspectivesImplement best practices for architecting and deploying Azure infrastructureReview different patterns for building a distributed application with ecosystem frameworks and solutionsGet to grips with cloud-native concepts using containerized workloadsWork with AKS (Azure Kubernetes Service) and use it with service mesh technologies to design a microservices hosting platformWho this book is for This book is for aspiring Azure Architects or anyone who specializes in security, infrastructure, data, and application architecture. If you are a developer or infrastructure engineer looking to enhance your Azure knowledge, you'll find this book useful.
Azure Architecture Unleashed Design Secure And Optimize Cloud Solutions
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Author : Radhakrishnan Arikrishna Perumal
language : en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date : 2025-03-11
Azure Architecture Unleashed Design Secure And Optimize Cloud Solutions written by Radhakrishnan Arikrishna Perumal and has been published by Radhakrishnan Arikrishna Perumal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.
Master the Art of Designing, Securing, and Optimizing Cloud Solutions on Microsoft Azure In a world rapidly transforming through digital innovation, cloud architects are at the forefront of building resilient, secure, and scalable systems. Azure Architecture Unleashed is your ultimate guide to mastering Microsoft Azure—designed for both aspiring engineers and experienced architects seeking clarity, depth, and practical insight. This book distills over two decades of hands-on experience into a comprehensive guide that covers everything from foundational concepts to cutting-edge cloud design patterns. Whether you’re preparing for an Azure interview, planning a cloud migration, or leading enterprise-grade architecture, this book equips you with the confidence and knowledge to excel. 🔹 What You'll Learn: ✅ Core Azure infrastructure: Regions, Availability Zones, VNets, Virtual Machines, Load Balancers, App Services ✅ Advanced compute services: Kubernetes (AKS), Azure Container Apps, Service Fabric ✅ Identity and security: Azure Active Directory, PIM, Conditional Access, Key Vault, Zero Trust ✅ Integration and messaging: Azure Service Bus, Event Grid, Logic Apps, API Management ✅ Databases and analytics: Cosmos DB, SQL Database, Data Lake, Synapse Analytics ✅ DevOps and automation: Azure DevOps, GitHub Actions, Terraform, CI/CD pipelines ✅ Cost optimization and FinOps strategies for cloud budgeting and scaling ✅ Real-world architectures and scenario-based Q&A ✅ Azure governance, compliance, policy enforcement, and Microsoft Purview ✅ Modern patterns: Multi-tenant SaaS, Microservices, Hybrid & Edge Computing Each chapter includes practical best practices, architectural considerations, and real-world use cases, helping you bridge the gap between theory and implementation. 👨💻 Who Should Read This Book? Cloud Engineers who want to deepen their understanding of Azure services Solution Architects looking for secure, scalable cloud design frameworks Security Architects focusing on threat modeling, compliance, and governance DevOps Professionals implementing CI/CD, Infrastructure-as-Code, and automation Interview Candidates preparing for Azure solution architect or security architect roles IT Leaders and Managers aiming to modernize legacy systems and ensure cloud ROI 💡 Why This Book Stands Out Covers both fundamental services and advanced architectural strategies Includes scenario-based Q&A, real-world case studies, and design decisions Follows Microsoft's Well-Architected Framework and industry best practices Stays up to date with the latest Azure services, including Defender for Cloud, Azure Arc, AI & analytics, and hybrid strategies Written by an industry-recognized Principal Azure Architect and published author with global experience 📘 About the Author Radhakrishnan Arikrishna Perumal is a Principal Architect, cloud thought leader, and published researcher with over 20 years of experience designing enterprise systems across cloud, AI, and security domains. He has authored several technical books and research papers, some of which are cited by international scholars and institutions. A recognized mentor and innovator, his work continues to inspire and empower engineers worldwide.
Architecting Modern Data Platforms
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Author : Jan Kunigk
language : en
Publisher: O'Reilly Media
Release Date : 2018
Architecting Modern Data Platforms written by Jan Kunigk and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Apache Hadoop categories.
There's a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you'll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You'll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability
Data Modeling For Azure Data Services
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Author : Peter ter Braake
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-30
Data Modeling For Azure Data Services written by Peter ter Braake and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-30 with Computers categories.
Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide Key FeaturesDesign a cost-effective, performant, and scalable database in AzureChoose and implement the most suitable design for a databaseDiscover how your database can scale with growing data volumes, concurrent users, and query complexityBook Description Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation. Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory. By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution. What you will learnModel relational database using normalization, dimensional, or Data Vault modelingProvision and implement Azure SQL DB and Azure Synapse SQL PoolsDiscover how to model a Data Lake and implement it using Azure StorageModel a NoSQL database and provision and implement an Azure Cosmos DBUse Azure Data Factory to implement ETL/ELT processesCreate a star schema model using dimensional modelingWho this book is for This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.
Mastering Azure Analytics
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Author : Zoiner Tejada
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-04-06
Mastering Azure Analytics written by Zoiner Tejada and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Computers categories.
Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.
Architecting Modern Data Platforms
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Author : Jan Kunigk
language : en
Publisher: O'Reilly Media
Release Date : 2018-12-05
Architecting Modern Data Platforms written by Jan Kunigk and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Computers categories.
There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability
Implementing Azure Cloud Design Patterns
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Author : Oliver Michalski
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-29
Implementing Azure Cloud Design Patterns written by Oliver Michalski and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Computers categories.
A hands-on guide to mastering Azure cloud design patterns and best practices. Key Features Master architectural design patterns in Azure. Get hands-on with implementing design patterns. Implement best practices for improving efficiency and security Book Description A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system. What you will learn Learn to organize Azure access Design the core areas of the Azure Execution Model Work with storage and data management Create a health endpoint monitoring pattern Automate early detection of anomalies Identify and secure Azure features Who this book is for This book is targeted at cloud architects and cloud solution providers who are looking for an extensive guide to implementing different patterns for the deployment and maintenance of services in Microsoft Azure. Prior experience with Azure is required as the book is completely focused on design patterns.
Mastering The Modern Data Stack
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Author : Nick Jewell, PhD
language : en
Publisher: TinyTechMedia LLC
Release Date : 2023-09-28
Mastering The Modern Data Stack written by Nick Jewell, PhD and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Computers categories.
In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™