What is Cloud Data Platform in Hyderabad

In most old systems, storage (where data is saved) and compute (where work is done on the data) are connected together. If one gets busy, the other is affected too. This can slow down the system. But in Snowflake, these two are separated. That means: Storage: This is where all your data is stored (like files, tables, history). Compute: This is where the work is done (like running queries, loading data, creating reports). They work independently. You can use them together or separately, depending on your needs. ✅ Benefits of Separating Storage and Compute in Data Warehousing Here’s why separating storage and compute is so useful. Let’s go point-by-point using very simple words: 1. Faster Performance Because storage and compute are separate, one team can be working with the data, while another team is running reports at the same time—without slowing each other down. 2. Cost Saving You can turn off compute (the engine) when you’re not using it. You only pay when it\'s working. Storage stays, but compute charges stop. This saves money.