When unloading data, which file format preserves the data values for floating-point number columns?
When unloading data, the Parquet file format is known for its efficiency in preserving the data values for floating-point number columns. Parquet is a columnar storage file format that offers high compression ratios and efficient data encoding schemes. It is especially effective for floating-point data, as it maintains high precision and supports efficient querying and analysis.
References:
Snowflake Documentation: Using the Parquet File Format for Unloading Data
Which snowflake objects will incur both storage and cloud compute charges? (Select TWO)
In Snowflake, both materialized views and transient tables will incur storage charges because they store data. They will also incur compute charges when queries are run against them, as compute resources are used to process the queries. References: [COF-C02] SnowPro Core Certification Exam Study Guide
What is the MINIMUM Snowflake edition required to use the query acceleration service?
Why is a federated environment used for user authentication in Snowflake?
What is one of the characteristics of data shares?
Data sharing in Snowflake allows for live, read-only access to data across different Snowflake accounts without the need to copy or transfer the data. One of the characteristics of data shares is the ability to use secure views. Secure views are used within data shares to restrict the access of shared data, ensuring that consumers can only see the data that the provider intends to share, thereby preserving privacy and security.
Snowflake Documentation: Understanding Secure Views in Data Sharing
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