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<url><loc>https://brontowise.com/2026/05/31/how-snowflakes-zero-copy-cloning-really-works-and-where-it-can-quietly-blow-up-your-storage-costs/</loc><news:news><news:publication><news:name>BrontoWise</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-31T07:00:00+00:00</news:publication_date><news:title>How Snowflake’s zero-copy cloning really works—and where it can quietly blow up your storage costs</news:title><news:keywords>data infrastructure, cloud data platform, data versioning, data management, snowflake cloning, zero-copy clone, data warehousing, data backup strategies, data testing, database snapshot, data storage optimization, data environment sandboxing, copy-on-write mechanism, snowflake versus traditional copying, data divergence</news:keywords></news:news></url><url><loc>https://brontowise.com/2026/05/31/why-tuning-sparks-shuffle-partitions-and-caching-saved-my-job-from-20-minute-waits-to-3/</loc><news:news><news:publication><news:name>BrontoWise</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-31T06:41:00+00:00</news:publication_date><news:title>Why tuning Spark’s shuffle partitions and caching saved my job from 20-minute waits to 3</news:title><news:keywords>Machine Learning, data engineering, spark performance tuning, how to optimize spark joins, spark shuffle partitions, spark caching strategies, spark broadcast joins, spark skewed joins, spark performance optimization, spark databricks best practices, data pipeline performance, spark repartition vs coalesce, spark job troubleshooting, spark cluster optimization, data engineering skills</news:keywords></news:news></url></urlset>
