Tranquillin, Marco
Architecting Data and Machine Learning Platforms: Enable Analytics and Ai-Driven Innovation in the Cloud
- ISBN 13:
- 9781098151614
- author:
- Tranquillin, Marco
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2024
- Pages:
- 359
- Dimensions:
- 23.3 x 17.8 x 1.9 centimetres (0
- Genre:
- Computers, Server & Database, General Database,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Build a Secure and Scalable Cloud Native Data Platform This comprehensive handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using industry-leading tools. You'll learn how to transform and secure familiar solutions like data warehouses and data lakes, and leverage recent AI/ML patterns to get accurate insights and drive competitive advantage. You'll discover how to create a modern and secure cloud native or hybrid data analytics and machine learning platform, accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient platform, and democratize access to enterprise data. You'll also learn how to build an MLOps platform to move to a predictive and prescriptive analytics approach. By following the guidance in this book, you'll be able to enable your business to make decisions in real time using streaming pipelines, and unlock the full potential of your cloud native data platform.