Behram Irani
Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS
Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS
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This book provides a comprehensive guide to designing and implementing a modern data platform on AWS, covering key features such as data lakes, data warehouses, security, governance, and AI/ML. It is designed for data architects, data engineers, and professionals who want to build scalable, flexible, and cost-effective data platforms using AWS services.
Format: Paperback / softback
Length: 420 pages
Publication date: 31 August 2023
Publisher: Packt Publishing Limited
Many IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you'll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.
Familiarize yourself with the building blocks of modern data architecture on AWS.
Discover how to create an end-to-end data platform on AWS.
Design data architectures for your own use cases.
Understand the key components of a modern data platform.
Learn about data lakes and data warehouses.
Explore data ingestion and consumption patterns.
Implement data governance and security measures.
Adopt AI/ML patterns for advanced analytics.
Utilize AWS services to build and optimize your data platform.
Case studies and real-world examples demonstrate practical applications.
Stay up-to-date with the latest AWS service offerings and best practices.
Whether you're a data architect, developer, or business leader, this book will empower you to build a robust and scalable modern data platform on AWS.
Weight: 778g
Dimension: 188 x 237 x 24 (mm)
ISBN-13: 9781801813396
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