Search Results for "structured storage"

Azure Zero to Hero Course is a comprehensive, day-by-day course repository designed to teach Azure fundamentals and practical skills from the ground up, targeted especially at aspiring DevOps engineers. The README is structured as a multi-day curriculum: early days cover cloud concepts, terminology, and Azure basics such as regions, availability zones, resource groups, and VM creation. Subsequent days dive into networking (VNets, subnets, NSGs, load balancers, firewalls), storage services, Azure CLI, IAM/RBAC, and Azure DevOps. Multiple days are dedicated to full projects, such as deploying an application behind a firewall on Azure, building CI/CD pipelines with Azure DevOps and AKS, deploying a three-tier e-commerce app on AKS, and integrating Key Vault with Kubernetes using CSI drivers. ...

The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. The repository is organized into multiple directories that reflect real-world pipelines, such as ingesting data, running SQL-based analytics, streaming data processing, using Spark and Dataproc, applying BigQuery ML, and deploying models with Vertex AI. ...

System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation.

The Digital Archive for Architecture (DAArch) is a project at The Art Institute of Chicago. The system is structured around the use of Categories for the Description of Works of Art (CDWA) metadata schema, and its underlying digital repository DSpace.