Architecting Data and Machine Learning Platforms
Book information
Description
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.
Similar books
Architecting Data and Machine Learning Platforms (Second Early Release)
2023 · EPUB
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud
2023 · PDF
Architecting Data and Machine Learning Platforms
2023 · EPUB
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (Final)
2023 · EPUB
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
EPUB
Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images
2021 · PDF
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
2022 · PDF
Data Science on the Google Cloud Platform, 2nd Edition
2023 · EPUB