For example, if the data in the target table just needs to be at most one hour behind the updates to the base tables, you can specify a target freshness of one hour (instead of five minutes) to reduce costs.When to use dynamic tables There are several methods of transforming data in ...
Dynamic Data Masking is a column-level security feature that enables the hiding of sensitive data by masking actual values in tables or views for users who are not authorized to access the information. As discussed in the previous article, it is implemented in SQL Server by applying masking fun...
While the OPERATE privilege grants this access, it also includes the capability to alter dynamic tables, making MONITOR the more suitable option for scenarios where a user does not need to alter a dynamic table. For example, roles held by data scientists. ...
using System.Globalization; using CsvHelper; using CsvHelper.Configuration; namespace SnowflakeDemo; public class CsvTools { public static void WriteCsvFile( dynamic dataToWrite, string outputFile, string delimiter) { var config = new CsvConfiguration(CultureInfo.InvariantCulture); //include header ...
Flexible Data Operations: The Snowflake Sink offers flexibility in data handling by allowing users to select specific fields to write into Snowflake, enabling efficient and dynamic storage configurations tailored to business needs. Integrated Business Processes: The Snowflake Sink allows device data to ...
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Execute the following SQL query to set up dynamic roles. Replace <SNOWFLAKE_ROLE_1>, <SNOWFLAKE_ROLE_2>, etc., with the actual role names from Snowflake, enclosed in single quotes and separated by commas, forming an array.alter security integration external_oauth_okta_2 SET external_oauth...
you can sort the table data by a field like transaction date. This will allow Snowflake to use min-max statistics of micro-partitions to prune the ones that do not contain the relevant dates for the queries that filter on date. This is calledclustered tables. Snowflake will gladly maintain...
Detect schema drift with SNOWFLAKE TASK and information_schema.columns. Map impacted downstream tables using SNOWFLAKE.CORE.GET_LINEAGE. Generate DDL updates for downstream tables with Cortex LLM. Step 1: Detect Schema Drift We utilize a SNOWFLAKE TASK to continuously monitor upstream tables for sch...
personal information, such as replacing names with random values or obfuscating email addresses. § Specific Features: Static data masking: Apply predefined masking rules to data at rest, replacing sensitive values with masked values. Dynamic data masking: Mask sensitive data on-the-fly based on ...