All the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services.
Many IT leaders and professionals know how to get data in a particular type of database and derive value from it. But when it comes to creating an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, it is always challenging to design and implement such a platform.
This book covers end-to-end solutions of many of the common data, analytics and AI/ML use-cases that organizations want to solve using AWS services. The book systematically lays out all the building blocks of a modern data platform including data lake, data warehouse, 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 many of the AWS services to create a scalable, flexible, performant and cost-effective modern data platform.
By the end of this book, readers will be equipped with all the necessary architecture patterns and would be able to apply this knowledge to build a modern data platform for their organization using AWS services.
This book is specifically geared towards helping data architects, data engineers and those professionals involved with building data platforms. The use-case driven approach in this book helps them conceptualize possible solutions to specific use-cases and provides them with design patterns to build data platforms for any organization. Technical leaders and decision makers would also benefit from this book as they will get a perspective of what the overall data architecture looks like for their organization and how each component of the platform helps with their business needs.
