Discover how to identify sensitive data and mitigate risk in Apache Spark and Databricks environments in this 27-minute video presentation. Learn to leverage BigID's Data Discovery-in-Depth technology to uncover sensitive data elements before building algorithms. Scale discovery and labeling processes to maintain context for all data in your Delta Lake, keeping pace with rapid data growth. Explore how to implement necessary guardrails around your data by understanding its contents. Gain insights on applying BigID's discovery platform to know all data inside Spark, select optimal datasets for analysis, identify sensitive information with relevant compliance policies, and add context to data for better understanding of data scientists' activities. Master techniques for maintaining a unified analytics platform while adhering to policies and regulations governing sensitive information.