1 option
Architecting data and machine learning platforms : enable analytics and AI-driven innovation in the cloud / Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner.
- Format:
- Book
- Author/Creator:
- Tranquillin, Marco, author.
- Lakshmanan, Valliappa, author.
- Tekiner, Firat, author.
- Language:
- English
- Subjects (All):
- Web applications--Development.
- Web applications.
- Application software--Development.
- Application software.
- Cloud computing.
- Computer architecture--Design.
- Computer architecture.
- Artificial intelligence--Data processing.
- Artificial intelligence.
- Amazon Web Services (Firm).
- Physical Description:
- 1 online resource (359 pages) : illustrations
- Edition:
- First edition.
- Place of Publication:
- Sebastopol, CA : O'Reilly Media, Inc., 2023.
- Summary:
- All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, 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.
- Notes:
- OCLC-licensed vendor bibliographic record.
- Includes index.
- ISBN:
- 9781098151607
- 1098151607
- OCLC:
- 1404062838
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.