Michael John Pena – författare
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4 produkter
4 produkter
E-bok
Engelska, 2025605 kr
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Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.Author Michael John Pea, principal data and application engineer, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.You'll gain insights that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.Learn core data concepts and the corresponding Microsoft Azure data servicesDiscover how to work with relational and nonrelational data on AzureBuild data analytics solutions using various Azure data servicesIdentify and describe core data workloads and data analytics workloads on AzureArticulate how to work with data security and privacy on AzureExplain the use cases, benefits, and limitations of different Azure data services
E-bok
PDF, Engelska, 2025605 kr
Läs direkt efter köp
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.Author Michael John Pea, principal data and application engineer, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.You'll gain insights that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.Learn core data concepts and the corresponding Microsoft Azure data servicesDiscover how to work with relational and nonrelational data on AzureBuild data analytics solutions using various Azure data servicesIdentify and describe core data workloads and data analytics workloads on AzureArticulate how to work with data security and privacy on AzureExplain the use cases, benefits, and limitations of different Azure data services
Häftad, Engelska, 2021
707 kr
Skickas inom 5-8 vardagar
Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure featuresKey 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 DescriptionCloud 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 forThis 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.
E-bok
Engelska, 2024387 kr
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Learn how to implement, deploy, and manage blockchain solutions across AWS, Azure, and GCP with the help of hands-on labs and real-world use cases
Key Features
Learn architecture design patterns and access code samples for building Web3 apps in the cloudMaster the latest tools and cloud technologies for integrating DevOps in blockchain applicationsStrengthen your understanding of cloud-native blockchain through real-world use cases and best practicesPurchase of the print or Kindle book includes a free PDF eBookBook Description
As Web3 technologies continue to gain momentum across industries, businesses are looking for new ways to leverage the benefits of Web3 and stay at the forefront of technological innovation. This comprehensive guide offers an in-depth exploration of cloud-native blockchain fundamentals, providing valuable insights into the benefits and challenges of deploying these technologies in the cloud. From foundational concepts to advanced techniques, the book covers everything you need to know about developing and deploying secure, scalable blockchain solutions on AWS, Azure, and GCP. Through hands-on tutorials and projects, you’ll explore the latest tools, technologies, real-world use cases, and best practices to expand your understanding of the field’s complexities and opportunities. This book ensures easy comprehension through practical examples and access to source code on GitHub. As you advance, you’ll master platform selection and apply your newfound knowledge to tackle complex problems and deliver innovative cloud-native blockchain solutions tailored for your specific needs. By the end of this book, you’ll have a deep understanding of cloud-native blockchain deployment and implementation, and you’ll be equipped with the skills and knowledge to build secure and scalable solutions.What you will learn
Discover the benefits and challenges of deploying Web3 solutions in the cloudDeploy secure and scalable blockchain networks leveraging AWS, Azure, and GCP resourcesFollow step-by-step tutorials and code samples to build Web3 solutions in the cloudUse hosted Kubernetes platforms, such as EKS, AKS, and GKE, for custom blockchainsCompare the blockchain capabilities and offerings of AWS, Azure, and Google CloudFamiliarize yourself with the tools and techniques for automating DevOps practices tailored to Web3 appsWho this book is for
The book is for cloud developers and DevOps engineers who want to leverage blockchain technologies in their cloud-native solutions. Whether you’re an IT professional deploying and maintaining Web3 solutions in the enterprise or in public settings, or a business leader evaluating blockchain''s potential, this resource is invaluable. Entrepreneurs, students, academics, and hobbyists exploring the latest Web3 development trends will also benefit from this book. Prior knowledge of cloud computing and blockchain concepts is recommended to make the best use of the expert insights, hands-on tutorials, and real-world use cases presented.