chawla harsh (13 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: Brand New. 262 pages. 9.50x6.25x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 222 pages. 9.75x7.00x0.75 inches. In Stock.

Zustand: New. In.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New. Beginning-Intermediate user level|Covers the life cycle of data, from building pipelines to data analytics and visualizationsProvides use cases for real-time and batch mode processingShows you how to infuse .

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how:To architect data lake analytics solutions by choosing suitable technologies available on Microsoft AzureThe advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystemThese data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutionsData platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.What Will You LearnYou will understand the:Concepts of data lake analytics, the modern data warehouse, and advanced data analyticsArchitecture patterns of the modern data warehouse and advanced data analytics solutionsPhases¿such as Data Ingestion, Store, Prep and Train, and Model and Serve¿of data analytics solutions and technology choices available on Azure under each phaseIn-depth coverage of real-time and batch mode data analytics solutions architectureVarious managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsightWho This Book Is ForData platform professionals, database architects, engineers, and solution architects.

Taschenbuch. Zustand: Neu. Data Lake Analytics on Microsoft Azure | A Practitioner's Guide to Big Data Engineering | Harsh Chawla (u. a.) | Taschenbuch | xvii | Englisch | 2020 | Apress | EAN 9781484262511 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | Implement microservices starting with their architecture and moving on to their deployment, manageability, security, and monitoring. This book focuses on the key scenarios where microservices architecture is preferred over a monolithic architecture. Building Microservices Applications on Microsoft Azure begins with a survey of microservices architecture compared to monolithic architecture and covers microservices implementation in detail. You'll see the key scenarios where microservices architecture is preferred over a monolithic approach. From there, you will explore the critical components and various deployment options of microservices on platforms such as Microsoft Azure (public cloud) and Azure Stack (hybrid cloud). This includes in-depth coverage of developing, deploying, and monitoring microservices on containers and orchestrating with Azure Service Fabric and Azure Kubernetes Cluster (AKS). This book includes practical experience from large-scale enterprise deployments, therefore it can be a quick reference for solution architects and developers to understand the critical factors while designing a microservices application. What You Will LearnExplore the use cases of microservices and monolithic architecture Discover the architecture patterns to build scalable, agile, and secure microservices applications Develop and deploy microservices using Azure Service Fabric and Azure Kubernetes Service Secure microservices using the gateway pattern See the deployment options for Microservices on Azure Stack Implement database patterns to handle the complexities introduced by microservices Who This Book Is For Architects and consultants who work on Microsoft Azure and manage large-scale deployments.