Database Insights

Choose where to store embeddings at scale — pgvector vs Redis Stack vs dedicated vector databases for production AI apps

Use LLMs for natural language to SQL — schema context injection, prompt design, safety guards, and accuracy benchmarks

Build production RAG pipelines using PostgreSQL + pgvector — chunking, embedding storage, similarity search, and retrieval

Compare pgvector, Pinecone, Weaviate, and Qdrant for AI workloads — cost, performance, and operational trade-offs

Design multi-tenant databases — compare schema-per-tenant, row-level-security, and database-per-tenant approaches

Build a real-time analytics pipeline from PostgreSQL to ClickHouse using CDC — architecture, latency, and schema mapping

Understand the differences between OLAP and OLTP systems — query patterns, storage engines, and when to use a hybrid approach

Compare Liquibase and Flyway for schema migration management — features, abstraction level, and team fit

Use Apache Airflow to orchestrate database ETL, backup jobs, and maintenance tasks — DAGs, sensors, and best practices

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Compare Delta Lake, Apache Iceberg, and Apache Hudi — ACID transactions, time travel, and format interoperability

Use dbt to build modular SQL transformations — models, tests, documentation, and CI/CD for your data warehouse