ISBN: 9798868800283 - architecting a modern data warehouse for large enterprises: build multi-cloud modern distributed data warehouses with azure and aws (14 risultati)

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  • Lingua: Inglese

    Editore: Apress 12/28/2023, 2023

    9798868800283

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    Paperback or Softback. Condizione: New. Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-Cloud Modern Distributed Data Warehouses with Azure and Aws. Book.

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  • Lingua: Inglese

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    Paperback. Condizione: New. Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your model's performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS.…

  • Lingua: Inglese

    Editore: Apress, 2023

    9798868800283

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  • Lingua: Inglese

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  • Lingua: Inglese

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    Paperback. Condizione: New. Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your model's performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS.…

  • Lingua: Inglese

    Editore: Apress, 2023

    9798868800283

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  • Lingua: Inglese

    Editore: Apress Dez 2023, 2023

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence.After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your model¿s performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS 384 pp. Englisch.…

  • Lingua: Inglese

    Editore: Apress, 2024

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Covers services and utilities available on Azure and AWS to build modern data warehousesProvides enterprise-grade best practices to design and architect cloud-based modern data warehousesMaterial is aimed at.…

  • Lingua: Inglese

    Editore: Apress, 2023

    9798868800283

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your model's performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS.…

  • Lingua: Inglese

    Editore: Apress, Apress Dez 2023, 2023

    9798868800283

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence.After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your model's performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWSSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.…