Problem: Inefficient Data Partitioning in BigQuery/Snowflake

Описание: ⚠️ Is your data warehouse bill making your eyes water? Inefficient partitioning could be the culprit!

Poor partitioning in BigQuery or Snowflake forces your queries to scan massive amounts of data, leading to a double whammy: soaring costs and sluggish performance. 💸

But here's the good news: fixing it is often straightforward!

Swipe through to see how you can slash your data scan size (and your bill!) by:
1️⃣ Partitioning by query-friendly fields like dates.
2️⃣ Avoiding the trap of over-partitioning.
3️⃣ Supercharging your queries with clustering.

The 'Before vs. After' results speak for themselves. A small change in your DDL can lead to massive savings and faster insights.

What's the biggest data challenge you're currently tackling? Let me know in the comments! 👇

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