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(Ebook) Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS by Anjani Kumar, Abhishek Mishra, Sanjeev Kumar ISBN 9798868800283, 8868800284, B0CKQGGW8F

  • SKU: EBN-54690040
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Instant download (eBook) Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS after payment.
Authors: Anjani Kumar, Abhishek Mishra, Sanjeev Kumar
Pages:378 pages.
Year:2024
Editon:1
Publisher:Apress
Language:english
File Size:11.66 MB
Format:pdf
ISBNS:9798868800283, 8868800284, B0CKQGGW8F
Categories: Ebooks

Product desciption

(Ebook) Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS by Anjani Kumar, Abhishek Mishra, Sanjeev Kumar ISBN 9798868800283, 8868800284, B0CKQGGW8F

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 Learn    Understand the core concepts underlying modern data warehouses    Design and build cloud-native data warehouses    Gain a practical approach to architecting and building data warehouses on Azure and AWS    Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse    Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall    Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is ForExperienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS
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