Scalable Data Analytics With Azure Data Explorer
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Scalable Data Analytics With Azure Data Explorer
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Author : Jason Myerscough
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-17
Scalable Data Analytics With Azure Data Explorer written by Jason Myerscough 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 2022-03-17 with Computers categories.
Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performance Key FeaturesApply Azure Data Explorer best practices to manage your data at scale and reduce KQL execution timeDiscover how to query and visualize your data using the powerful KQLManage cluster performance and monthly costs by understanding how to size your ADX cluster correctlyBook Description Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters. The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance. By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI. What you will learnBecome well-versed with the core features of the Azure Data Explorer architectureDiscover how ADX can help manage your data at scale on AzureGet to grips with deploying your ADX environment and ingesting and analyzing your dataExplore KQL and learn how to query your dataQuery and visualize your data using the ADX UI and Power BIIngest structured and unstructured data types from an array of sourcesUnderstand how to deploy, scale, secure, and manage ADXWho this book is for This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps engineers who deploy, maintain, and secure infrastructure will also find this book useful. Prior knowledge of Azure and basic data querying will help you to get the most out of this book.
Learn Azure Synapse Data Explorer
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Author : Pericles (Peri) Rocha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-02-17
Learn Azure Synapse Data Explorer written by Pericles (Peri) Rocha 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 2023-02-17 with Computers categories.
A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data Explorer Free PDF included with this book Key FeaturesAugment advanced analytics projects with your IoT and application dataExpand your existing Azure Synapse environments with unstructured dataBuild industry-level projects on integration, experimentation, and dashboarding with Azure SynapseBook Description Large volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data. This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you'll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you'll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users. By the end of this book, you'll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data. What you will learnIntegrate Data Explorer pools with all other Azure Synapse servicesCreate Data Explorer pools with Azure Synapse Studio and Azure PortalIngest, analyze, and serve data to users using Azure Synapse pipelinesIntegrate Power BI and visualize data with Synapse StudioConfigure Azure Machine Learning integration in Azure SynapseManage cost and troubleshoot Data Explorer pools in Synapse AnalyticsSecure Synapse workspaces and grant access to Data Explorer poolsWho this book is for If you are a data engineer, data analyst, or business analyst working with unstructured data and looking to learn how to maximize the value of such data, this book is for you. If you already have experience working with Azure Synapse and want to incorporate unstructured data into your data science project, you'll also find plenty of useful information in this book. To maximize your learning experience, familiarity with data and performing simple queries using SQL or KQL is recommended. Basic knowledge of Python will help you get more from the examples.
Building Cloud Data Platforms Solutions
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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :
Building Cloud Data Platforms Solutions 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.
"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.
Microsoft Certified Azure Data Fundamentals Dp 900 Exam Guide
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Author : Steve Miles
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-27
Microsoft Certified Azure Data Fundamentals Dp 900 Exam Guide written by Steve Miles 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 2024-09-27 with Computers categories.
Boost your Azure career by mastering essential data concepts and cloud services with this pragmatic guide Purchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, and the eBook PDF Key Features Gain Azure certification insights from industry veteran and Microsoft MVP, Steve Miles Dive into expertly crafted content aligned with the latest DP-900 exam requirements Test your skills with mock exams that mirror the actual certification exam Book DescriptionMicrosoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure’s powerful data services capabilities. This comprehensive guide written by Steve Miles—a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms—serves as your gateway to a future shaped by data and AI, regardless of your technical background. With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies. To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tips By the end of this book, you’ll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven careerWhat you will learn Analyze features of structured, semi-structured, and unstructured data Utilize Azure SQL and open-source database services confidently Identify and evaluate Azure storage options Understand the versatility of Azure Cosmos DB through use cases and APIs Apply cutting-edge strategies for large-scale analytics in Azure Master core data concepts crucial for Azure environments Explore Microsoft's cloud services for real-time analytics Demonstrate proficiency in data visualization using Power BI Who this book is for This exam guide is designed for anyone who wants to work with Azure data services and prepare for the Azure DP-900 exam. Whether you're an administrator, engineer, architect, developer, analyst, aspiring data scientist, or a non-technical enthusiast interested in learning data concepts, this book is for you. It also lays the groundwork for those planning to pursue more advanced data or AI certifications. A foundational understanding of cloud concepts and client-server applications is assumed.
Mastering Microsoft Fabric Unified Data Engineering Governance And Artificial Intelligence In The Cloud
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Author :
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-12
Mastering Microsoft Fabric Unified Data Engineering Governance And Artificial Intelligence In The Cloud written by and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
The development of cloud platforms has changed how organizations manage data, implement governance, and incorporate artificial intelligence into business processes. Microsoft Fabric combines data engineering, governance, real-time analytics, and AI into a single, scalable ecosystem. This book, Mastering Microsoft Fabric: Unified Data Engineering, Governance, and AI in the Cloud, is designed for professionals, researchers, and architects interested in Microsoft Fabric. It covers real-world use cases, architectural patterns, and practical implementations, this guide explores how to build modern, governed, and intelligent data systems that meet the demands of today’s dynamic digital environments. Drawing on extensive experience in databases, cybersecurity, and AI, I have written this book to address the divide between theoretical concept and practical implementation. This work focuses on role- and rule-based access control, multi-tenant data governance, AI integration, and secure data pipelines, all critical pillars in modern enterprise architecture. This book functions as both a technical guide and a strategic reference, outlining how Microsoft Fabric is influencing cloud-native data engineering and decision-making. It aims to inform readers about compliance focused architectures and servers as a resource for professionals working within cloud-first and AI-driven environments.
Azure The One Part 1
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Author : Team The One
language : en
Publisher: Notion Press
Release Date : 2025-03-08
Azure The One Part 1 written by Team The One and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.
Book Highlights: Coverage: Deep dive into Azure Fundamentals (Cloud, Entra, Networking, Storage), fundamentals of data analytics and data modelling, and Azure Migrations (SQL, NoSQL, Heterogeneous databases, Storage, etc.). DualFaceted Answers: Questions are answered concisely for quick reference, followed by an indepth exploration section with use cases and examples for detailed understanding. RealWorld Relevance: Questions reflect those asked in interviews for positions such as Azure SQL DBA, Azure Data Consultant, Azure Migration Engineer, Azure Data Engineer, Database Developer, Data Analyst, and Azure Cloud Admin at diverse organizations. Focused Learning: Readers can readily find answers to specific questions, enabling targeted learning. Targeted Preparation: Ideal for interview preparation or gaining insights into specific areas of the Azure Data Ecosystem. Clarity and Conciseness: Information is presented efficiently, making it easier to grasp complex topics. ScenarioBased: Includes a wide range of realworld business case scenario questions and answers. Bonus Content: Features an additional chapter dedicated to Azure Functions and Logic Apps. Azure The One” Series: Part 1 (This Book): Explore Azure Cloud fundamentals, data analytics fundamentals, and Azure migrations. Part 2 (Coming Next): Specially designed for Azure SQL Family. Part 3 (Coming Soon): Concentrates exclusively on Azure Data Analytics. The “Azure The One” series empowers you to navigate the Azure Data Ecosystem with confidence and success.
The Azure Iot Handbook
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Author : Dan Clark
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-22
The Azure Iot Handbook written by Dan Clark 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 2023-12-22 with Technology & Engineering categories.
The essential guide to architecting Azure IoT systems—from provisioning and monitoring IoT sensors to analyzing real-time streaming data Key Features Develop a complete IoT system in Azure with the help of hands-on examples Discover how to create, secure, and manage an enterprise-wide IoT system Learn how to collect, analyze, and visualize streaming data Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith the rise of cloud-based computing, deploying IoT systems has become more cost-effective for businesses. This transformation has led to developers and architects shouldering the responsibility of creating, managing, and securing these systems, even if they are new to the IoT technology. The Azure IoT Handbook is a comprehensive introduction to quickly bring you up to speed in this rapidly evolving landscape. Starting with the basic building blocks of any IoT system, this book guides you through mobile device management and data collection using an IoT hub. You’ll explore essential tools for system security and monitoring. Following data collection, you’ll delve into real-time data analytics using Azure Stream Analytics and view real-time streaming on a Power BI dashboard. Packed with real-world examples, this book covers common IoT use as well. By the end of this IoT book, you’ll know how to design and develop IoT solutions leveraging intelligent edge-to-cloud technologies implemented on Azure.What you will learn Get to grips with setting up and deploying IoT devices at scale Use Azure IoT Hub for device management and message routing Explore Azure services for analyzing streaming data Uncover effective techniques for visualizing real-time streaming data Delve into the essentials of monitoring and logging to secure your IoT system Gain insights into real-time analytics with Power BI Create workflows and alerts triggered by streaming data Who this book is for The Azure IoT Handbook is for cloud developers and architects who want to learn how to establish an IoT solution on the Azure platform. This book is equally valuable for IoT developers transitioning to Azure, encompassing tasks such as aggregating, analyzing, and visualizing real-time data streams. Basic knowledge of the C# and Python programming languages, as well as a practical understanding of data processing will help you make the most of this book. Familiarity with working with cloud-based services is also advantageous.
Cloud Native Development With Azure
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Author : Pavan Verma
language : en
Publisher: BPB Publications
Release Date : 2024-03-19
Cloud Native Development With Azure written by Pavan Verma and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
Develop cloud-native skills by learning Azure cloud infrastructure offerings KEY FEATURES ● Master cloud-native development fundamentals and Azure services. ● Application security, monitoring, and efficient management. ● Explore advanced services like Azure Machine Learning & IoT Hub. DESCRIPTION Azure is a powerful cloud computing platform with a wide range of services. Reading this book can help you gain an in-depth understanding of these services and how to use them effectively. Being one of the most popular cloud computing platforms, having knowledge and skills in Azure can be a valuable asset in your career. Explore Microsoft Azure for cloud-native development. Understand its basics, benefits, and services. Learn about identity management, compute resources, and application building. Discover containerization with Azure Kubernetes Service and Azure Container Registry. Dive into microservices architecture and serverless development with Azure Functions. Understand security, monitoring, logging, and CI/CD pipelines with Azure DevOps. Finally, explore advanced services like Azure Machine Learning and Azure IoT Hub, with real-world case studies and insights into future trends. Azure is constantly evolving, with new features and services being added regularly. Reading books on Azure cloud can help you stay up-to-date with the latest developments in the platform and keep your skills current. WHAT YOU WILL LEARN ● Design and build scalable cloud-native apps. ● Utilize Azure services for identity, compute, and storage. ● Implement containerization for efficient packaging and deployment. ● Secure applications with robust Azure security features. ● Manage and monitor applications for optimal performance and reliability. WHO THIS BOOK IS FOR This book is ideal for software developers, architects, and cloud engineers looking to build and deploy modern, scalable applications on the Microsoft Azure cloud platform. TABLE OF CONTENTS 1. Introduction to cloud and cloud native development 2. Azure Services for Cloud Native Development 3. Data Storage Services on Azure Cloud 4. Azure Kubernetes and Container Registry 5. Developing Applications on Azure 6. Monitoring And Logging Applications on Azure 7. Security and Governance on Azure 8. Deploying Applications on Azure 9. Advance Azure Services 10. Case Studies and best practice 11. Generative AI and Future Trends
Data Lakehouse In Action
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Author : Pradeep Menon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-17
Data Lakehouse In Action written by Pradeep Menon 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 2022-03-17 with Computers categories.
Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patterns Key FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an organization's needs and maturity levelBook Description The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success. The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application. By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner. What you will learnUnderstand the evolution of the Data Architecture patterns for analyticsBecome well versed in the Data Lakehouse pattern and how it enables data analyticsFocus on methods to ingest, process, store, and govern data in a Data Lakehouse architectureLearn techniques to serve data and perform analytics in a Data Lakehouse architectureCover methods to secure the data in a Data Lakehouse architectureImplement Data Lakehouse in a cloud computing platform such as AzureCombine Data Lakehouse in a macro-architecture pattern such as Data MeshWho this book is for This book is for data architects, big data engineers, data strategists and practitioners, data stewards, and cloud computing practitioners looking to become well-versed with modern data architecture patterns to enable large-scale analytics. Basic knowledge of data architecture and familiarity with data warehousing concepts are required.
Azure Synapse Analytics Solutions
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-30
Azure Synapse Analytics Solutions written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
"Azure Synapse Analytics Solutions" "Azure Synapse Analytics Solutions" is a comprehensive guide for data architects, engineers, and analytics professionals seeking to unlock the full potential of Microsoft’s unified analytics platform. The book lays a solid foundation by elucidating Synapse’s core architectural principles, intricate storage abstractions, and versatile compute pools. Readers are expertly guided through critical considerations such as networking, security, and workspace management, as well as cost optimization strategies designed to maximize efficiency in the cloud. The journey continues into the complexities of modern data engineering, with detailed patterns for batch and streaming data ingestion, robust data pipeline orchestration, and seamless integration with Azure Data Factory and diverse cloud or on-premises sources. Deep dives into big data processing with Apache Spark, advanced SQL data warehousing, and real-time analytics empower readers to handle any data velocity or volume. Practical guidance for data modeling, query performance tuning, and operationalizing analytical workloads ensures that solutions are both high-performing and scalable. Beyond analytics, the book provides a holistic view of enterprise data solutions, including machine learning integration, rigorous security and governance frameworks, and state-of-the-art DevOps practices for Synapse deployments. Real-world design patterns, industry-specific reference architectures, and insightful case studies bring together theory and practice, equipping professionals to architect resilient, compliant, and future-proof solutions on Azure Synapse Analytics.