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Architecting A Modern Data Warehouse For Large Enterprises Build Multicloud Modern Distributed Data Warehouses With Azure And Aws 1st Edition Anjani Kumar

  • SKU: BELL-54690040
Architecting A Modern Data Warehouse For Large Enterprises Build Multicloud Modern Distributed Data Warehouses With Azure And Aws 1st Edition Anjani Kumar
$ 31.00 $ 45.00 (-31%)

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Architecting A Modern Data Warehouse For Large Enterprises Build Multicloud Modern Distributed Data Warehouses With Azure And Aws 1st Edition Anjani Kumar instant download after payment.

Publisher: Apress
File Extension: PDF
File size: 11.66 MB
Pages: 378
Author: Anjani Kumar, Abhishek Mishra, Sanjeev Kumar
ISBN: 9798868800283, 8868800284, B0CKQGGW8F
Language: English
Year: 2024
Edition: 1

Product desciption

Architecting A Modern Data Warehouse For Large Enterprises Build Multicloud Modern Distributed Data Warehouses With Azure And Aws 1st Edition Anjani Kumar by Anjani Kumar, Abhishek Mishra, Sanjeev Kumar 9798868800283, 8868800284, B0CKQGGW8F instant download after payment.

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

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