You're concerned about data privacy in your data pipeline. How can you spot potential vulnerabilities?
In the digital age, data privacy is paramount, especially when it comes to your data pipeline. Ensuring the confidentiality, integrity, and availability of data is a critical aspect of data engineering. But vulnerabilities can exist at any stage of the pipeline, from collection to storage to analysis. Spotting these potential security gaps is essential to protect sensitive information from unauthorized access or leaks. So, how can you identify and address these weak points effectively?