Why Views and materialized views in Snowflake? - Purpose & Use Cases

The Big Idea

What if you could get instant answers from huge data without waiting or errors?

The Scenario

Imagine you have a huge spreadsheet with thousands of rows and complex formulas. Every time you want to see a summary, you have to recalculate everything manually, which takes a long time and can cause mistakes.

The Problem

Manually recalculating or copying data for summaries is slow and error-prone. It wastes time and can lead to inconsistent results if you forget to update everything correctly.

The Solution

Views and materialized views automatically create saved queries or pre-calculated results. This means you can quickly access up-to-date summaries without recalculating everything yourself.

Before vs After

✗ Before

SELECT * FROM big_table WHERE condition; -- run full query every time

✓ After

CREATE MATERIALIZED VIEW summary_view AS SELECT aggregated_data FROM big_table; -- fast access to precomputed results

What It Enables

It lets you get fast, reliable answers from large data sets without waiting or making mistakes.

Real Life Example

A sales team uses a materialized view to instantly see monthly sales totals instead of waiting minutes for the full report to run every time.

Key Takeaways

Manual data summaries are slow and risky.

Views save queries for easy reuse.

Materialized views store results for fast access.