This project demonstrates how Apache Airflow can be used to automate, schedule, monitor, and manage data engineering workflows. The implementation progresses from a basic DAG with Bash and Python ...

A collection of SQL exercises, Python database integration projects, and a database-backed REST API developed as part of my AI Engineering Learning Roadmap. This repository documents my progression ...

Query Apache Iceberg tables stored in cloud storage directly from AlloyDB and join them with live operational data in a ...

Cornel Bindiu built AI Cost & Usage Gateway, a FastAPI service that checks tenant budgets before forwarding LLM requests and ...

Explore server-side performance optimization with profiling, slow query analysis, caching and concurrency fixes for faster ...

Are you considering taking on a side job by leveraging the expertise and development experience you have cultivated in your main career as a data engineer? Recently, against the backdrop of big data ...

All 100 past exam questions are provided with answers and explanations for every question.When I was studying for IT ...

Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

Developer-first PostgreSQL environment that offers sub-2-second instant provisioning, scale-to-zero pause & resume, and 1–2 ...

A search engine is a software system designed to search for information on the World Wide Web, identifying results relevant ...

Beginning in January 2027, AI Functions that require Databricks Runtime 15.4 LTS or above, other than ai_similarity, require Databricks Runtime 17.3 LTS or above ...