Systems Across Domains
Why cross-domain systems understanding matters, and a library of system-domain notes.
What It Is
Data Warehousing is the storage and management of large datasets optimized for reporting and analysis. On this site, it matters because it transfers across technical, operational, and venture work instead of staying trapped in one narrow context.
Learn more: https://en.wikipedia.org/wiki/Data_warehouse
Human-in-the-loop systems
Automated processes incorporate human judgment to improve accuracy, safety, and outcomes.
Adtech data flow systems
Pipelines move user, context, and bidding data through intermediaries to enable real-time advertising decisions.
AI inference systems
Compute systems are optimized for executing trained models efficiently at scale.
Amazon Athena
Amazon Athena is a serverless query service for analyzing data in S3 using SQL.
Amazon Redshift
Amazon Redshift is a cloud data warehouse for large-scale analytics.
Audience Intent Data Model Development
Designed a unified data model to integrate any data source into a big data geospatial analytics program, handling over 100TB of data in GCS and BigQuery with...
Data Engineering and Big Data
Projects building data pipelines, warehouses, lakes, and large-scale analytics infrastructure.
Data lake / lakehouse systems
Storage layers retain raw and structured data at scale while bridging analytical and operational workloads.
Data lineage systems
Tracking systems record the origin, transformations, and dependencies of data across pipelines and reports.