Download or read book Ultimate Azure Synapse Analytics written by Swapnil Mule and published by Orange Education Pvt Ltd. This book was released on 2024-06-29 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Empower Your Data Insights with Azure Synapse Analytics KEY FEATURES ● Leverage Azure Synapse Analytics for data warehousing, big data analytics, and machine learning in one environment. ● Integrate with Azure services like Azure Data Lake Storage and Azure Machine Learning to enhance analytics. ● Gain insights from real-world examples and best practices to solve complex data challenges. DESCRIPTION Unlock the full potential of Azure Synapse Analytics with Ultimate Azure Synapse Analytics, your definitive roadmap to mastering the art of data analytics in the cloud era. From the foundational concepts to advanced techniques, each chapter offers practical insights and hands-on tutorials to streamline your data workflows and drive actionable insights. Discover how Azure Synapse Analytics revolutionizes data processing and integration, empowering you to harness the vast capabilities of the Azure ecosystem. Seamlessly transition from traditional data warehousing to cutting-edge big data analytics, leveraging serverless and dedicated resources for optimal performance. Dive deep into Synapse SQL, explore advanced data engineering with Apache Spark, and delve into machine learning and DevOps practices to stay ahead in today's data-driven landscape. Whether you're seeking to optimize performance, ensure compliance, or facilitate seamless migration, this book provides the expertise needed to excel in your role. Gain valuable insights into industry best practices, enhance your data engineering skills, and drive innovation within your organization. WHAT WILL YOU LEARN ● Understand the significance of Azure Synapse Analytics in modern data analytics. ● Learn to set up and configure your Synapse workspace for efficient data processing. ● Dive into Synapse SQL and discover techniques for data exploration and analysis. ● Master advanced techniques for seamless data integration into Azure Synapse Analytics. ● Explore big data engineering concepts and leverage Apache Spark for scalable data processing. ● Discover how to implement machine learning models and algorithms using Synapse Analytics. ● Ensure data security and regulatory compliance with effective security measures in Azure Synapse Analytics. ● Optimize performance and efficiency through performance tuning strategies and optimization techniques. ● Implement DevOps practices for effective data engineering and continuous integration and deployment. ● Gain insights into best practices for successful implementation and migration to Azure Synapse Analytics for streamlined data operations. WHO IS THIS BOOK FOR? This comprehensive book is crafted for data engineers, analysts, architects, and developers eager to master Azure Synapse Analytics, providing practical insights and advanced techniques. Whether you're a novice or a seasoned professional in the field of data analytics, this book offers invaluable resources to elevate your skills. TABLE OF CONTENTS 1. The World of Azure Synapse Analytics 2. Setting Up the Synapse Workspace 3. Synapse SQL and Data Exploration 4. Data Integration Technique 5. Big Data Engineering with Apache Spark 6. Machine Learning with Synapse 7. Implementing Security and Compliance 8. Performance Tuning and Optimization 9. DevOps for Data Engineering 10. Ensuring Implementation Success and Effective Migration Index

Download or read book Ultimate Azure Data Scientist Associate DP 100 Certification Guide written by Rajib Kumar De and published by Orange Education Pvt Ltd. This book was released on 2024-06-26 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning KEY FEATURES ● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. DESCRIPTION Ultimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. WHAT WILL YOU LEARN ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. WHO IS THIS BOOK FOR? This book is for aspiring Data Scientists, IT Professionals, Developers, Data Analysts, Students, and Business Professionals aiming to Master Azure Data Science. Prior knowledge of basic Data Science concepts and programming, particularly in Python, will be beneficial for making the most of this comprehensive guide. TABLE OF CONTENTS 1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index

Download or read book Limitless Analytics with Azure Synapse written by Prashant Kumar Mishra and published by Packt Publishing Ltd. This book was released on 2021-06-18 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your data Key FeaturesLearn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data analytics together to gain insights from your dataDevelop end-to-end analytics solutions using Azure SynapseBook Description Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks. What you will learnExplore the necessary considerations for data ingestion and orchestration while building analytical pipelinesUnderstand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflowsQuery data using various coding languages on Azure SynapseFocus on Synapse SQL and Synapse SparkManage and monitor resource utilization and query activity in Azure SynapseConnect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse StudioCreate and manage IP firewall rules in Azure SynapseWho this book is for This book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.

Download or read book Mastering Azure Synapse Analytics guide to modern data integration written by Sultan Yerbulatov and published by Litres. This book was released on 2024-06-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing from my extensive hands-on experience as a data engineer, this book presents a deep exploration of Azure Synapse Analytics through detailed explanations, practical examples, and expert insights. Readers will learn to navigate the complexities of modern data analytics, from data ingestion and transformation to dynamic data masking and compliance reporting.

Download or read book Mastering Azure Synapse Analytics written by and published by BPB Publications. This book was released on 2023-04-15 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide that will help you transform your data into actionable insights with Azure Synapse Analytics KEY FEATURES ● Explore the different features in the Azure Synapse Analytics workspace. ● Learn how to integrate Power BI and Data Governance capabilities with Azure Synapse Analytics. ● Accelerate your analytics journey with the no-code/low-code capabilities of Azure Synapse. DESCRIPTION Cloud analytics is a crucial aspect of any digital transformation initiative, and the capabilities of the Azure Synapse analytics platform can simplify and streamline this process. By mastering Azure Synapse Analytics, analytics developers across organizations can boost their productivity by utilizing low-code, no-code, and traditional code-based analytics frameworks. This book starts with a comprehensive introduction to Azure Synapse Analytics and its limitless cloud-scale analytics capabilities. You will then learn how to explore and work with data warehousing features in Azure Synapse. Moving on, the book will guide you on how to effectively use Synapse Spark for data engineering and data science. It will help you learn how to gain insights from your data through Observational analytics using Synapse Data Explorer. You will also discover the seamless data integration capabilities of Synapse Pipeline, and delve into the benefits of Synapse Analytics' low-code and no-code pipeline development features. Lastly the book will show you how to create network topology and implement industry-specific architecture patterns in Azure Synapse Analytics. By the end of the book, you will be able to process and analyze vast amounts of data in real-time to gain insights quickly and make informed decisions. WHAT YOU WILL LEARN ● Leverage Synapse Spark for machine learning tasks. ● Use Synapse Data Explorer for telemetry analysis. ● Take advantage of Synapse's common data model-based database templates. ● Query data using T-SQL, KQL, and Spark SQL within Synapse. ● Integrate Microsoft Purview with Synapse for enhanced data governance. WHO THIS BOOK IS FOR This book is designed for Cloud data engineers with prior experience in Azure cloud computing, as well as Chief Data Officers (CDOs) and Data professionals, who want to use this unified platform for data ingestion, data warehousing, and big data analytics. TABLE OF CONTENTS 1. Cloud Analytics Concept 2. Introduction to Azure Synapse Analytics 3. Modern Data Warehouse with the Synapse SQL Pool 4. Query as a Service- Synapse Serverless SQL 5. Synapse Spark Pool Capability 6. Synapse Spark and Data Science 7. Learning Synapse Data Explorer 8. Synapse Data Integration 9. Synapse Link for HTAP 10. Azure Synapse -Unified Analytics Service 11. Synapse Workspace Ecosystem Integration 12. Azure Synapse Network Topology 13. Industry Cloud Analytics

Download or read book Azure Data Factory by Example written by Richard Swinbank and published by Apress. This book was released on 2024-04-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. This edition, updated for 2024, includes the latest developments to the Azure Data Factory service: Enhancements to existing pipeline activities such as Execute Pipeline, along with the introduction of new activities such as Script, and activities designed specifically to interact with Azure Synapse Analytics. Improvements to flow control provided by activity deactivation and the Fail activity. The introduction of reusable data flow components such as user-defined functions and flowlets. Extensions to integration runtime capabilities including Managed VNet support. The ability to trigger pipelines in response to custom events. Tools for implementing boilerplate processes such as change data capture and metadata-driven data copying. What You Will Learn Create pipelines, activities, datasets, and linked services Build reusable components using variables, parameters, and expressions Move data into and around Azure services automatically Transform data natively using ADF data flows and Power Query data wrangling Master flow-of-control and triggers for tightly orchestrated pipeline execution Publish and monitor pipelines easily and with confidence Who This Book Is For Data engineers and ETL developers taking their first steps in Azure Data Factory, SQL Server Integration Services users making the transition toward doing ETL in Microsoft’s Azure cloud, and SQL Server database administrators involved in data warehousing and ETL operations

Download or read book The Ultimate Power Query Cookbook for Power BI and Excel written by Dominick Raimato and published by BPB Publications. This book was released on 2024-01-22 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novice or expert, learn to simplify and optimize data transformations KEY FEATURES ● Practical approaches to cleansing, connecting and transforming data in Power Query. ● Real-life examples that readers can apply to their own work. ● Master Power Query for Excel and Power BI with step-by-step recipes. DESCRIPTION “The Ultimate Power Query Cookbook for Power BI and Excel” serves up easy-to-follow recipes that transform data into meaningful insights. You will learn to clean messy files, combine datasets, and even use AI magic to Power BI and Excel. This book will walk you through the basics of getting connected to data with Power Query. You will understand how to ingest data from files, folders, databases, websites, APIs, and other third party sources. Once connected, you will learn how to transform the data so it is ready for your use. We will clean up columns, filter, replace, extract, and classify data in Power Query to meet your needs. The book offers over 100 practical recipes, ensuring you understand each step with clear explanations and examples. Lastly, we will go over advanced techniques to help optimize and simplify your transformations allowing fast refreshes all while helping you manage them in the future. This book will help you know how to apply these techniques and recipes to your data all while understanding the implications of making certain decisions. This will enable you to have better conversations with other data professionals who are providing data for your use. WHAT YOU WILL LEARN ● Learn to connect to files, databases, and third-party services. ● Manage data types and formats to optimize storage. ● Transform, create, and manipulate queries. ● Combine, merge, filter, and cleanse queries. ● Integrate artificial intelligence to accelerate insights. ● Perform complex and scalable transformations. WHO THIS BOOK IS FOR Novice or expert, this book is designed for all Excel users, data analysts, Power BI power users, business professionals and data enthusiasts to get the most out of your data solutions when transforming your data in Power Query. TABLE OF CONTENTS 1. Introduction to Power Query 2. Connect to File-Based Data Sources 3. Connect to Web-Based Data Sources 4. Connect to Database Sources 5. Connect to Third-Party Data Sources 6. Managing Data Types 7. Transforming Columns 8. Cleansing Columns 9. Creating New Columns 10. Combining and Manipulating Queries 11. Using Python, R, and AI 12. Indexing 13. Parameters 14. Functions 15. Advanced Web Connections 16. Manipulating Supporting Queries

Download or read book Beginning Azure Synapse Analytics written by Bhadresh Shiyal and published by Apress. This book was released on 2021-09-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started with Azure Synapse Analytics, Microsoft's modern data analytics platform. This book covers core components such as Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation. The book begins with an introduction to core data and analytics concepts followed by an understanding of traditional/legacy data warehouse, modern data warehouse, and the most modern data lakehouse. You will go through the introduction and background of Azure Synapse Analytics along with its main features and key service capabilities. Core architecture is discussed, along with Synapse SQL. You will learn its main features and how to create a dedicated Synapse SQL pool and analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will learn Synapse Workspace and Synapse Studio followed by Synapse Link and its features. You will go through use cases in Azure Synapse and understand the reference architecture for Synapse Analytics. After reading this book, you will be able to work with Azure Synapse Analytics and understand its architecture, main components, features, and capabilities. What You Will Learn Understand core data and analytics concepts and data lakehouse concepts Be familiar with overall Azure Synapse architecture and its main components Be familiar with Synapse SQL and Synapse Spark architecture components Work with integrated Apache Spark (aka Synapse Spark) and Synapse SQL engines Understand Synapse Workspace, Synapse Studio, and Synapse Pipeline Study reference architecture and use cases Who This Book Is For Azure data analysts, data engineers, data scientists, and solutions architects

Download or read book Ultimate Blazor WebAssembly for Web Development written by Chandradev Prasad Sah and published by Orange Education Pvt Ltd. This book was released on 2024-05-14 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Empower Your Web Development with Blazor WASM 8.0 KEY FEATURES ● Effortlessly combine Blazor Web Assembly 8.0 and C# for enhanced web app performance. ● Gain valuable insights and practical examples to master dynamic and responsive web application development. ● Learn to streamline development processes, debug effectively, and optimize performance for a competitive edge. DESCRIPTION Revision 1 Ultimate Blazor WebAssembly for Web Development is your comprehensive guide to mastering the latest advancements in Blazor technology. This book will equip you with the knowledge and skills needed to leverage Blazor Web Assembly 8.0 and C# effectively and seamlessly to enhance the performance of your web apps. Whether you are a seasoned developer or just starting out, this book provides valuable insights and practical examples to help you build dynamic and responsive web applications with ease. You will harness the power of Blazor's component-based architecture to create rich user interfaces that engage and delight users. With expanded component libraries and optimized rendering, you will be able to deliver high-performance applications that meet the demands of modern web development. The book will help you discover how to streamline your development workflows, debug with confidence, and unleash the full potential of Blazor 8.0 in your projects. With a focus on practicality and real-world application scenarios, this book will empower you to elevate your skills and stay ahead in today's competitive market. WHAT WILL YOU LEARN ● Learn to craft robust and reusable components tailored for your Blazor applications. ● Seamlessly navigate your application with advanced routing strategies for enhanced user experience. ● Organize and share UI components efficiently across various projects for streamlined development. ● Ensure data integrity and user input validation with effective validation techniques. ● Master state management methods to handle complex application states with ease. ● Integrate REST APIs seamlessly into your Blazor projects for efficient data exchange. ● Harness the power of EF Core for seamless data access and manipulation within Blazor applications. ● Bridge the gap between Blazor and JavaScript to unlock advanced functionalities. ● Leverage Azure services for scalable, reliable, and enhanced cloud integration in your applications. ● Implement top-notch security measures to safeguard your Blazor applications against potential threats and vulnerabilities. WHO IS THIS BOOK FOR? This book is perfect for web developers and programmers aiming to advance their expertise in Blazor WebAssembly 8.0. While prior familiarity with C# and basic web development concepts is recommended, all readers can benefit from the comprehensive content provided. Whether you are a freelancer, junior or senior developer, team lead, or CTO, this book is your indispensable companion for mastering Blazor WebAssembly 8.0 and driving success in your web development endeavors. TABLE OF CONTENTS 1. Introduction to Blazor WebAssembly 2. Razor Components 3. Routing and Navigation 4. Razor Class Library 5. State Management 6. REST Services 7. Entity Framework Core 8. Validation in Blazor WebAssembly 9. JavaScript Interop in Blazor 10. Azure Service in Blazor 11. Security in Blazor WebAssembly Index

Download or read book Beginning Azure Synapse Analytics written by Bhadresh Shiyal and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started with Azure Synapse Analytics, Microsoft's modern data analytics platform. This book covers core components such as Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation. The book begins with an introduction to core data and analytics concepts followed by an understanding of traditional/legacy data warehouse, modern data warehouse, and the most modern data lakehouse. You will go through the introduction and background of Azure Synapse Analytics along with its main features and key service capabilities. Core architecture is discussed, along with Synapse SQL. You will learn its main features and how to create a dedicated Synapse SQL pool and analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will learn Synapse Workspace and Synapse Studio followed by Synapse Link and its features. You will go through use cases in Azure Synapse and understand the reference architecture for Synapse Analytics. After reading this book, you will be able to work with Azure Synapse Analytics and understand its architecture, main components, features, and capabilities. You will: Understand core data and analytics concepts and data lakehouse concepts Be familiar with overall Azure Synapse architecture and its main components Be familiar with Synapse SQL and Synapse Spark architecture components Work with integrated Apache Spark (aka Synapse Spark) and Synapse SQL engines Understand Synapse Workspace, Synapse Studio, and Synapse Pipeline Study reference architecture and use cases.

Download or read book The Ultimate Guide to Unlocking the Full Potential of Cloud Services written by Rick Spair and published by Rick Spair. This book was released on 2023-06-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: By following this comprehensive guide, readers will embark on a journey to gain a deep understanding of cloud computing concepts, enabling them to navigate the complex landscape of cloud services with confidence. The guide covers a wide range of topics, providing valuable insights and practical strategies to optimize the use of cloud offerings. The first chapter introduces readers to the fundamental concepts of cloud computing, explaining the underlying principles and models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It lays the foundation for the subsequent chapters, ensuring a solid understanding of cloud computing basics. The guide then delves into the process of selecting the right cloud service provider. Chapter 2 offers guidance on evaluating factors such as pricing models, performance, reliability, security, and data privacy. Readers will learn how to assess and compare different providers to make informed decisions that align with their specific business needs. The subsequent chapters provide in-depth insights into various aspects of cloud services. From storage solutions to infrastructure management, security measures, and cost optimization strategies, readers will explore best practices, tips, and recommendations for maximizing the benefits of each cloud offering. Chapters dedicated to cloud storage solutions discuss different options available and guide readers on how to leverage cloud storage for data backup, disaster recovery, and efficient data management. The chapters on Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) provide readers with strategies for leveraging these services to scale and flexibly deploy computing resources, design and deploy virtual infrastructure, and optimize performance. The guide also delves into Software as a Service (SaaS), highlighting its benefits for software delivery and exploring popular SaaS applications across various industries. Readers will gain insights into customizing and integrating SaaS solutions to meet specific business needs and learn how to integrate SaaS with other cloud services for enhanced functionality. Security, governance, and compliance in the cloud are essential considerations, and the guide dedicates chapters to these topics. Readers will learn about implementing robust access controls, encryption, and monitoring techniques to ensure data security. They will also discover best practices for establishing cloud governance frameworks, ensuring compliance with industry regulations, and managing resources effectively. Optimizing cost and resource usage is a crucial aspect of cloud services, and the guide covers various strategies for cost optimization, analyzing cloud costs, and identifying cost drivers. It provides insights into leveraging reserved instances, spot instances, and rightsizing to optimize costs and maximize return on investment. The guide also explores cloud migration planning and execution, hybrid cloud integration, serverless computing, big data analytics, DevOps, and other advanced cloud technologies. Each chapter presents a comprehensive overview of the topic, offering practical advice and real-world examples to help readers understand and leverage these technologies effectively. By the end of the guide, readers will have a comprehensive understanding of cloud computing and its various offerings. They will be equipped with the knowledge and strategies to choose the right cloud service provider, optimize resource utilization, enhance security measures, and leverage advanced cloud technologies to drive innovation and business growth. Overall, this guide serves as a valuable resource for individuals and organizations seeking to harness the full potential of cloud services.

Download or read book Machine Learning with Dynamics 365 and Power Platform written by Aurelien Clere and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics. The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. The authors demonstrate: What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects The creation and management of environments for development, testing, and production of a machine learning project How adopting machine learning techniques will redefine the future of your ERP/CRM system Perfect for Technical Consultants, software developers, and solution architects, Machine Learning with Dynamics 365 and Power Platform is also an indispensable guide for Chief Technology Officers seeking an intuitive resource for how to implement machine learning in modern business applications to solve real-world problems.

Download or read book Hands on Cloud Analytics with Microsoft Azure Stack written by Prashila Naik and published by BPB Publications. This book was released on 2020-11-12 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and work with various Microsoft Azure services for real-time Data Analytics KEY FEATURESÊ Understanding what Azure can do with your data Understanding the analytics services offered by Azure Understand how data can be transformed to generate more data Understand what is done after a Machine Learning model is builtÊ Go through some Data Analytics real-world use cases ÊÊ DESCRIPTIONÊ Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services. The book starts by sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant by a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads. You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics. WHAT WILL YOU LEARNÊÊ Explore and work with various Azure services Orchestrate and ingest data using Azure Data Factory Learn how to use Azure Stream Analytics Get to know more about Synapse Analytics and its features Learn how to use Azure Analysis Services and its functionalities Ê WHO THIS BOOK IS FORÊ This book is for anyone who has basic to intermediate knowledge of cloud and analytics concepts and wants to use Microsoft Azure for Data Analytics. This book will also benefit Data Scientists who want to use Azure for Machine Learning. Ê TABLE OF CONTENTSÊÊ 1. Ê Data and its power 2. Ê Evolution of Analytics and its Types 3. Ê Internet of Things 4. Ê AI and ML 5. Ê Why cloud 6. Ê What are a data lake and a modern datamart 7. Ê Introduction to Azure services 8. Ê Types of data 9. Ê Azure Data Factory 10. Stream Analytics 11. Azure Data Lake Store and Azure Storage 12. Cosmos DB 13.Ê Synapse Analytics 14.Ê Azure Databricks 15.Ê Azure Analysis Services 16.Ê Power BI 17.Ê Azure Machine Learning 18.Ê Sample Architectures and synergies - Real-Time and Batch 19.Ê Azure Data Catalog 20.Ê Azure Active Directory 21.Ê Azure Webapps 22.Ê Power apps 23.Ê Time Series Insights 24.Ê Azure Cognitive Services 25.Ê Azure Logicapps 26.Ê Azure VM 27.Ê Azure Functions 28.Ê Azure Containers 29.Ê Azure KubernetesÊ Service 30.Ê Use Case 1 31.Ê Use Case 2

Download or read book Azure Modern Data Architecture written by Anouar BEN ZAHRA and published by Anouar BEN ZAHRA. This book was released on with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Azure Synapse Analytics Cookbook written by Gaurav Agarwal and published by Packt Publishing Ltd. This book was released on 2022-04-29 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure Synapse Key FeaturesDiscover new techniques for using Azure Synapse, regardless of your level of expertiseIntegrate Azure Synapse with other data sources to create a unified experience for your analytical needs using Microsoft AzureLearn how to embed data governance and classification with Synapse Analytics by integrating Azure PurviewBook Description As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems. What you will learnDiscover the optimal approach for loading and managing dataWork with notebooks for various tasks, including MLRun real-time analytics using Azure Synapse Link for Cosmos DBPerform exploratory data analytics using Apache SparkRead and write DataFrames into Parquet files using PySparkCreate reports on various metrics for monitoring key KPIsCombine Power BI and Serverless for distributed analysisEnhance your Synapse analysis with data visualizationsWho this book is for This book is for data architects, data engineers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios.

Download or read book Microsoft Azure Data Solutions An Introduction written by Daniel A. Seara and published by Microsoft Press. This book was released on 2021-07-14 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover and apply the Azure platform's most powerful data solutions Cloud technologies are advancing at an accelerating pace, supplanting traditional relational and data warehouse storage solutions with novel, high-value alternatives. Now, three pioneering Azure Data consultants offer an expert introduction to the relational, non-relational, and data warehouse solutions offered by the Azure platform. Drawing on their extensive experience helping organizations get more value from the Microsoft Data Platform, the authors guide you through decision-making, implementation, operations, security, and more. Throughout, step-by-step tutorials and hands-on exercises prepare you to succeed, even if you have no cloud data experience. Three leading experts in Microsoft Azure Data Solutions show how to: Master essential concepts of data storage and processing in cloud environments Handle the changing responsibilities of data engineers moving to the cloud Get started with Azure data storage accounts and other data facilities Walk through implementing relational and non-relational data stores in Azure Secure data using the least-permissions principle, Azure Active Directory, role-based access control, and other methods Develop efficient Azure batch processing and streaming solutions Monitor Azure SQL databases, blob storage, data lakes, Azure Synapse Analytics, and Cosmos DB Optimize Azure data solutions by solving problems with storage, management, and service interactions About This Book For data engineers, systems engineers, IT managers, developers, database administrators, cloud architects, and other IT professionals Requires little or no knowledge about Azure tools and services for data analysis

Download or read book Cloud Analytics with Microsoft Azure written by Has Altaiar and published by Packt Publishing Ltd. This book was released on 2021-01-28 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features Key FeaturesUpdated with the latest features and new additions to Microsoft AzureMaster the fundamentals of cloud analytics using AzureLearn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insightsBook Description Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse. Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization. What you will learnExplore the concepts of modern data warehouses and data pipelinesDiscover unique design considerations while applying a cloud analytics solutionDesign an end-to-end analytics pipeline on the cloudDifferentiate between structured, semi-structured, and unstructured dataChoose a cloud-based service for your data analytics solutionsUse Azure services to ingest, store, and analyze data of any scaleWho this book is for This book is designed to benefit software engineers, Azure developers, cloud consultants, and anyone who is keen to learn the process of deriving business insights from huge amounts of data using Azure. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.