Explores federation vs. lakehouse architectures for unified data access, offering a decision framework and best practices.
Explores building modular query engines using Rust runtimes like Apache DataFusion, focusing on composability over monolithic designs.
Explains row vs column storage layouts in databases, their I/O tradeoffs, compression benefits, and when to use each for query engines.
Explores query execution models: Volcano (row-at-a-time), vectorized (batch processing), and compiled code generation for CPU efficiency.
Explores how Dremio's platform simplifies building and managing Apache Iceberg-based data lakehouses with governance, performance, and self-service.
A tutorial on using Apache Drill to query and analyze JSON files with SQL, using blog analytics as a practical example.
