Data lake analytics microsoft (31 Ergebnisse)

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Paperback. Zustand: Like New. 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.…

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Paperback. Zustand: Like New. 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.…

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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.…

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

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Zustand: New. pp. XVII, 222 134 illus. 1st ed. edition NO-PA16APR2015-KAP.

Zustand: New. pp. XVII, 222 134 illus.

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.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 solutions Data 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 Learn You 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 HDInsight Who This Book Is For Data platform professionals, database architects, engineers, and solution architects 240 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 solutions Data 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 Learn You 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 HDInsight Who This Book Is For Data platform professionals, database architects, engineers, and solution architects.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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: New. PRINT ON DEMAND pp. XVII, 222 134 illus.