Deploying Secure Data Science Applications in the Cloud

Deploying Secure Data Science Applications in the Cloud

Architect the resilient infrastructure of the modern data economy and master the high-performance protocols of secure cloud deployment. Deploying Secure Data Science Applications in the Cloud provides a definitive, engineering-first roadmap to the most significant shift in analytical software since the rise of Big Data. Learn how to move beyond local Jupyter notebooks to high-velocity, production-grade environments—bridging the gap between a standalone model and a global, scalable service—ensuring your technical applications are resilient, compliant, and ready for the 2026 cloud landscape.

Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.

What You Will Learn:

Foundations of Cloud Infrastructure: Master the core architectures of AWS and Google Cloud Platform (GCP), from Virtual Machines (EC2/GCE) to advanced Serverless functions.

End-to-End Secure Deployment: Step-by-step guidance on containerizing models with Docker and orchestrating them to maintain peak information security.

Modern MLOps Workflows: Discover how to utilize CI/CD pipelines to automate the deployment, monitoring, and updating of data science applications with professional-grade precision.

Strategic Risk & Compliance: Learn advanced techniques for managing Identity and Access Management (IAM), data encryption, and network isolation in distributed environments.

Who This Book is For: This professional-grade guide is essential for Cloud Architects, Data Scientists, and DevOps Engineers. It is an invaluable resource for any technical lead—including those building highly secure, cloud-integrated graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern software delivery.

Product Details:

Format: Digital PDF Download

Author: Lucas H. Benevides e Braga

Publisher: Apress

ISBN-13: 9798868817144