Compression and error handling

Modern column-oriented databases use compression to dramatically reduce storage. The compression ratio depends on the data type and the distribution of values. Understanding these techniques helps you design schemas that compress well. Compression Types Robust Error Handling Type conversion failures in production can crash entire pipelines. Robust error handling is essential for data engineering. These patterns handle progressively more complex scenarios. How should you handle type conversion on untrusted data? Applying Error Handling Patterns