AWS Redshift Table Redesign
AWS Redshift Table Redesign To redesign an AWS Redshift table optimally, you’d typically consider factors like data access patterns, scalability, performance, and cost-effectiveness. Here are some steps you can follow: Run Vacuum: The VACUUM command reclaims space and re-sorts rows in your table. This is important for optimizing performance by removing deleted rows, reorganizing data for better storage efficiency, and updating statistics used by the query optimizer. Syntax: VACUUM schema_name.table_name; Analyze Compression: The ANALYZE COMPRESSION command analyzes the compression ratios for each column in your table. It provides insights into how effectively each column is compressed and identifies opportunities for further compression optimizations. Syntax: ANALYZE COMPRESSION schema_name.table_name; Review Analysis Results: When reviewing the analysis results, focus on columns where the storage savings from compression are significant or where the current compression settings m...