Time-traveling through your data architecture: Using data agents to understand change

Your sales reports are off, and you suspect a data definition change. Sure, the update was probably logged… buried in some system, lost in a sea of emails, or mentioned in a meeting you missed. If only there were a single, proactive way to see these critical changes. In complex data ecosystems, understanding how things change is just as important as knowing how things work. That's why keeping…

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