for Data Enthusiasts
Snowflake’s cloud-native architecture makes it incredibly easy to get started — but running it efficiently at scale is a whole different game. If you’ve ever faced slow queries, ballooning credit consumption, or unpredictable performance, you’re not alone. Tuning Snowflake workloads requires more than just adjusting warehouse sizes — it involves understanding how Snowflake stores data, … Read more
Apache Spark has revolutionized the way we process large-scale data — delivering unparalleled speed, scalability, and flexibility. But as many engineers discover, achieving optimal performance in Spark is far from automatic. Your job runs — but takes longer than expected. The cluster scales — but the costs rise disproportionately. Memory errors appear out of nowhere. … Read more
We all know that to optimise our queries these 3 strategies are like most common : Partitioned table Bucketing Collecting Stats But sometimes a simple query will run on ALL partitions instead of one. You may notice your query should work on one partition but it will run on all partitions.Let me show you an … Read more