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#SQL

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SQL is a standard language for storing, manipulating and retrieving data in relational databases.

I am currently adding a field to our Existing messaging from Epic, however there might be a possibility I need to back load data into the Ancillary system. While I have the previous messages that can be sent, they do not have this additional field that I am adding to the message.

I can do a lookup against Epic Clarity SQL Database; however, I don't want to throw a wrench into the workflow if the system cannot connect to the Epic Clarity SQL Database.

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Currently, the SQL privileges (SELECT, INSERT, UPDATE, DELETE) are managed at the tables level, which can be very tedious when you have to administer many roles in an organization, and need to keep them sync with a constantly evolving data models.
By managing privileges at the schemas level, will allow to give SELECT and other DML privileges to *all* or *several schemas* to a role|user, fixing the need to manually synchronize the new tables|views to the roles.

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In today's landscape, enterprises have grown substantially in scale, amassing vast amounts of data. This data is collected from a plethora of sources including different applications, databases, and other channels. Given the diversity and volume of this data, it's only logical for these enterprises to seek a deeper understanding of what their data entails. Some of the data can be stored in IRIS, and it can be reasonable to be able to add this data to a data lake too.

The Internet now offers many different tools for such tasks, that do not yet support IRIS, but it's achievable.

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