Architecting data and machine learning platforms: enable analytics and AI-driven innovation in the cloud
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...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
2023
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098151607/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index |
| Umfang: | 1 Online-Ressource (359 Seiten) illustrations |
Internformat
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| spelling | Tranquillin, Marco VerfasserIn aut Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner First edition. Sebastopol, CA O'Reilly Media, Inc. 2023 1 Online-Ressource (359 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 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. Amazon Web Services (Firm) Web applications Development Application software Development Cloud computing Computer architecture Design Artificial intelligence Data processing Applications Web ; Développement Logiciels d'application ; Développement Infonuagique Intelligence artificielle ; Informatique Application software ; Development Artificial intelligence ; Data processing Lakshmanan, Valliappa VerfasserIn aut Tekiner, Firat VerfasserIn aut |
| spellingShingle | Tranquillin, Marco Lakshmanan, Valliappa Tekiner, Firat Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud Amazon Web Services (Firm) Web applications Development Application software Development Cloud computing Computer architecture Design Artificial intelligence Data processing Applications Web ; Développement Logiciels d'application ; Développement Infonuagique Intelligence artificielle ; Informatique Application software ; Development Artificial intelligence ; Data processing |
| title | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud |
| title_auth | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud |
| title_exact_search | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud |
| title_full | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner |
| title_fullStr | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner |
| title_full_unstemmed | Architecting data and machine learning platforms enable analytics and AI-driven innovation in the cloud Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner |
| title_short | Architecting data and machine learning platforms |
| title_sort | architecting data and machine learning platforms enable analytics and ai driven innovation in the cloud |
| title_sub | enable analytics and AI-driven innovation in the cloud |
| topic | Amazon Web Services (Firm) Web applications Development Application software Development Cloud computing Computer architecture Design Artificial intelligence Data processing Applications Web ; Développement Logiciels d'application ; Développement Infonuagique Intelligence artificielle ; Informatique Application software ; Development Artificial intelligence ; Data processing |
| topic_facet | Amazon Web Services (Firm) Web applications Development Application software Development Cloud computing Computer architecture Design Artificial intelligence Data processing Applications Web ; Développement Logiciels d'application ; Développement Infonuagique Intelligence artificielle ; Informatique Application software ; Development Artificial intelligence ; Data processing |
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