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To work around mismatches in our databases, we added additional logic in our ETL jobs that counted the number of rows in the application databases and in Snowflake in a given time period. If a discrepancy existed, the job would simply delete the data in Snowflake for that time period and re-copy the data from production. By having the job perform retroactive corrections, we increased our assurance that the data in Snowflake *actually* matched what was in the application databases.
Truth and Lies: Ensuring the Integrity of Our Data Warehouse
Lucidchart
Putting a book together is interesting and exhilarating. It is sufficiently difficult and complex that it engages all your intelligence. It is life at its most free.
The Writing Life
Annie Dillard
“Neurodivergent people could use [large language models] to practice conversations and gauge the kinds of reactions they might get from their neurotypical conversation partners. LLMs can also be very helpful to understand the neurotypical conversational style,” he says.
Can AI Create a More Equitable Future for Neurodiverse Workers?
Benjy Hansen-Bundy
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