AWS

AWS services, architecture, certifications

Python Cloud SDKs for Data Engineers: boto3 for AWS S3, azure-storage-blob for Azure Blob and ADLS Gen2, google-cloud-storage for GCS, Authentication, Upload, Download, List, Delete, pandas Integration, and Production Patterns

Leave a Comment / AWS, Azure, Data Engineering, Python

The complete Python cloud storage guide for data engineers. boto3 for AWS S3: client vs resource, upload, download, list with pagination, read directly into pandas, presigned URLs, multipart transfers. azure-storage-blob for Azure Blob Storage and ADLS Gen2: BlobServiceClient, ContainerClient, BlobClient, DefaultAzureCredential, connection strings, SAS tokens. google-cloud-storage for GCS. Cross-cloud comparison table. Production patterns: cloud-to-local ETL, cloud-to-cloud copy, partitioned uploads. Eight common mistakes and seven interview Q&As.

Python Cloud SDKs for Data Engineers: boto3 for AWS S3, azure-storage-blob for Azure Blob and ADLS Gen2, google-cloud-storage for GCS, Authentication, Upload, Download, List, Delete, pandas Integration, and Production Patterns Read More »

Cloud Computing Explained: On-Premises, Public, Private, Hybrid, IaaS, PaaS, SaaS, and the Shared Responsibility Model

Leave a Comment / AWS, Azure, Data Engineering

Master cloud computing fundamentals. On-premises vs Public vs Private vs Hybrid cloud, IaaS vs PaaS vs SaaS with the pizza analogy, the Shared Responsibility Model across all service models, CapEx vs OpEx, Azure services mapped to each model, and real-world migration scenarios.

Cloud Computing Explained: On-Premises, Public, Private, Hybrid, IaaS, PaaS, SaaS, and the Shared Responsibility Model Read More »

Scroll to Top