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.

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Spis treści

Modern Data Architecture on AWS. A Practical Guide for Building Next-Gen Data Platforms on AWS eBook -- spis treści

• 1. Modern Data Architecture on AWS
• 2. Scalable Data Lakes
• 3. Batch Data Ingestion
• 4. Streaming Data Ingestion
• 5. Data Processing
• 6. Interactive Analytics
• 7. Data Warehousing
• 8. Data Sharing
• 9. Data Federation
• 10. Predictive Analytics
• 11. Generative AI
• 12. Operational Analytics
• 13. Business Intelligence
• 14. Data Governance
• 15. Data Mesh
• 16. Performant and Cost-effective Data Platform
• 17. Automate, Operationalize and Monetize