Tayyab Usman | Answers

Here are 3 top reasons to consider Snowflake for your data needs: Ease of Use and Scalability: Snowflake offers a cloud-based architecture designed for simplicity and elasticity. Unlike traditional data...

Converting your stored procedures directly to dynamic tables might not be the most effective approach. Here's why: Functionality: Stored procedures can perform complex logic beyond data retrieval, such...

Not in general. DTs can replace some types of Tasks + Stored Procedures, but Stored Procedures just a general way of grouping multiple SQL statements together into a function.

The page for a Dynamic Table in Snowsight will show you a DAG including all downstream DTs

Snowflake has increased the limit to 4000 and plans to increase it further this year.

Right now you can manually refresh a DT from a Task with a Cron schedule. There are also plans to add this support natively in DTs in the future.

There are some similarities. Dynamic tables support a much wider set of query constructs than Snowflake's materialized views, and have the TARGET_LAG parameter that Saras just mentioned. DTs are for building...

No, Dynamic tables in Snowflake don't inherently require a primary or logical key defined in the underlying tables they reference. Here's why: Dynamic tables are virtual representations of data retrieved...

Yes, Snowflake allows you to optimize complex queries to process only changed data within a streaming or CDC pipeline. It achieves this functionality through a feature called Streams. Here's how it works:...

Snowflake's data sharing feature offers several advantages for both data providers and consumers: Simplified collaboration: Sharing data becomes effortless. Eliminate the need for manual transfers, emails,...