A company has built a data pipeline using Snowpipe to ingest files from an Amazon S3 bucket. Snowpipe is
configured to load data into staging database tables. Then a task runs to load the data from the staging database
tables into the reporting database tables.
The company is satisfied with the availability of the data in the reporting database tables, but the reporting
tables are not pruning effectively. Currently, a size 4X-Large virtual warehouse is being used to query all of
the tables in the reporting database.
What step can be taken to improve the pruning of the reporting tables?
sources to support a wide variety of use cases and data consumer requirements which include:
1) Finance and Vendor Management team members who require reporting and visualization
2) Data Science team members who require access to raw data for ML model development
3) Sales team members who require engineered and protected data for data monetization
What Snowflake data modeling approaches will meet these requirements? (Choose two.)
When loading data into a table that captures the load time in a column with a default value of either
CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur?
A healthcare company wants to share data with a medical institute. The institute is running a Standard edition of Snowflake; the healthcare company is running a Business Critical edition. How can this data be shared?
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