Companies are increasingly moving to the cloud to store and process data. In this talk, we will talk through how companies can use tag-based policies in Apache Ranger to protect access to data both in on-premises environments as well in AWS-based cloud environments. We will go into details of how tag-based policies work and the integration with Apache Atlas and various services. We will also talk through how companies can leverage Ranger’s policies to anonymize or tokenize data while moving into the cloud and de-anonymize dynamically using Apache Kafka, Apache Hive, Apache Spark, or plain old ETL using MapReduce. We will also deep dive into Ranger’s proposed integration with S3 and other cloud-native systems. We will wrap it up with an end-to-end demo showing how tags and tag-based masking policies can be used to anonymize sensitive data and track how tags are propagated within the system and how sensitive data can be protected using tag-based policies
