Imagine. You’re a technical lead or a data analyst at a global bank. Your bank relies on real-time data feeds — such as interest rates, housing data, stock data, and sensitive customer information — to make critical financial decisions and adjust loan prices. If the Federal Reserve raises rates overnight, and your systems fail to check the freshness of the interest rate data feed, you may end up providing loans at incorrect rates. Moreover, if a technical glitch occurs, causing feeds to stop loa...

Blog of the Week: The embarrassing truth about stale data | Best practices

Blog of the Week: The embarrassing truth about stale data | Best practices | Collibra Community