A data analytics pipeline is important to modern businesses because it allows them to extract valuable insights from the large amounts of data they generate and collect on a daily basis. This leads to better decision making, improved efficiency, and increased ROI.

However, despite your best efforts, sensitive customer data tends to find its way into our analytics pipelines, ending up in our data warehouses and metrics dashboards. Replicating customer PII to your downstream services greatly increases your compliance scope and makes maintaining data privacy and security significantly more challenging.

In this episode, Engineering Lead at Skyflow Piper Keyes joins the show to discuss what goes into building a privacy-aware data pipeline, what tools and technologies should you be using, and how Skyflow addresses this problem.

Topics:

• What is a data analytics pipeline?

Resources:

• Running Secure Workflows with Sensitive Customer Data