Architecting a Modern Data Warehouse for Large Enterprises
Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS
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Product details:
- Edition number First Edition
- Publisher Apress
- Date of Publication 28 December 2023
- Number of Volumes 1 pieces, Book
- ISBN 9798868800283
- Binding Paperback
- No. of pages368 pages
- Size 254x178 mm
- Weight 728 g
- Language English
- Illustrations XV, 368 p. 146 illus. Illustrations, black & white 524
Categories
Long description:
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 For
Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS MoreTable of Contents:
Chapter 1: Introduction.- Chapter 2: Modern Data Warehouses.- Chapter 3: Data Lake, Lake House, and Delta Lake.- Chapter 4: Data Mesh.- Chapter 5: Data Orchestration Techniques.- Chapter 6: Data Democratization, Governance, and Security.- Chapter 7: Business Intelligence.
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