📌 TL:DR - This presentation explores key encoding strategies, Offset Encoding, Dictionary Encoding, Bit-Packing, RLE, and Delta Encoding, and how data ordering influences their efficiency. You'll learn how data type selection affects query execution, encoding efficiency, and cost optimization in modern data warehouse systems.

🎯 Key Takeaways
By the end of this session, you should walk away with a clear understanding
* How your choices in data type selection can influence a data warehouse, potentially lowering costs through efficient encoding
* How do DuckDB/Parquet (open-source), Google BigQuery & Azure Synapse Dedicated Pool (VertiPaq Engine) implement this in reality?
* How your data type affects query execution by limiting operator choices or leveraging low-level CPU features like Single Instruction, Multiple Data (SIMD).