Название: Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (Second Early Release)
Автор: Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner
Издательство: O’Reilly Media, Inc.
Год: 2023-06-01
Страниц: 270
Язык: английский
Формат: epub
Размер: 10.1 MB
All cloud architects need to know how to build data platforms—the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and Machine Learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. What is a data platform? Why do you need it? What does building a data and ML platform involve? Why should you build your data platform on the cloud? This book starts by answering these common questions that arise when dealing with data and ML projects.