Data Architecture
AWS Data Architecture: Sources, Ingestion and Analytics
An AWS data platform connects source systems, ingestion, storage, analytics and orchestration. Each layer needs clear ownership, access controls and monitoring.
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INSIGHTS
Technical insights for
modern engineering teams.
Architecture patterns, technical deep-dives and practical lessons across AI, data, cloud and platform engineering.
Data Architecture
Designing a SaaS ETL Platform with Angular and AWS
An ETL SaaS architecture outline covering the Angular interface, backend connectors, data processing, tenant isolation and controlled AI assistance.
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Data Architecture
Jenkins for DataOps: Pipeline Controls and Operating Trade-offs
Using Jenkins to coordinate DataOps checks and jobs, while accounting for credentials, maintenance, failure handling and operating cost.
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Data Architecture
DataOps: Contracts, Tests and Recoverable Pipelines
DataOps practices for repeatable data delivery, quality checks and operational ownership, and how they differ from MLOps.
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