1. Cost Estimation Model: Add a new section titled "Compute Cost Calculation." Provide formulas to estimate the CPU core-hours, memory bandwidth, and estimated costs from major cloud providers required to clean 1TB, 10TB, and 1PB of data.
2. Hybrid Architecture Patterns: Supplement with a "Spark + Ray" hybrid architecture case study. Focus on using Spark for IO-heavy ETL and Ray for GPU-heavy Inference/Embedding, as this is currently the industry-standard choice.
3. Data Lineage: Deepen the coverage of DVC and LakeFS. Emphasize how to trace back through multiple cleaning experiments to identify "exactly which line of code caused the data contamination."
1. Cost Estimation Model: Add a new section titled "Compute Cost Calculation." Provide formulas to estimate the CPU core-hours, memory bandwidth, and estimated costs from major cloud providers required to clean 1TB, 10TB, and 1PB of data.
2. Hybrid Architecture Patterns: Supplement with a "Spark + Ray" hybrid architecture case study. Focus on using Spark for IO-heavy ETL and Ray for GPU-heavy Inference/Embedding, as this is currently the industry-standard choice.
3. Data Lineage: Deepen the coverage of DVC and LakeFS. Emphasize how to trace back through multiple cleaning experiments to identify "exactly which line of code caused the data contamination."