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Snowflake is leveraging our SQL expertise to provide the best text-to-SQL capabilities that combine syntactically correct SQL with a deep understanding of customers’ sophisticated dataschemas, governed and protected by their existing rights, roles and access controls.
The data pipeline should be designed to handle the volume, variety, and velocity of the data. This includes choosing the right data storage and processing technologies, designing the dataschema, and planning the data transformations. This can be achieved through datacleansing and data validation.
This process involves learning to understand the data and determining what needs to be done before the data becomes useful in a specific context. Discovery is a big task that may be performed with the help of data visualization tools that help consumers browse their data. It also discusses several kinds of data.
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