Understanding Data Security in QDS¶
Qubole secures data by caching the command results within a Qubole account, through access control and Amazon S3 access. It also supports Hive authorization to provide table-level-security in Hive, Presto (only to Hive tables). In the near future, Qubole plans to support Hive authorization on Spark data (Hive table data).
Securing Data through Amazon S3 Access¶
Qubole accounts on Qubole-on-AWS supports two types of authentication to access AWS resources that are mentioned below:
- IAM Keys authenticataion to access AWS resources. For more information, see Authorizing AWS using IAM Keys.
- IAM Role is an AWS recommended practice and provides a very secure experience as compared to IAM Keys for accessing AWS resources. For more information, see Authorizing AWS using IAM Roles.
Qubole supports adding S3 locations for the files in commands UI editor/API call requests before they are run. The Hive command results can be exported to an Amazon S3 location. From the QDS UI, you can use the Explore page to access the Amazon S3 buckets. You can use Explore page to do export data to S3 location and analyze data in the command editor UI on the Analyze page. For more information, see Using the Explore Page.
Protecting IAM Credentials¶
Qubole encrypts IAM access credentials and stores them on QDS servers.
Securing AWS S3 Data¶
Qubole secures the AWS S3 data by providing each user with a unique S3 access token/role only if the user has raw S3 access.
Securing Hive-table Data¶
Hive authorization is one of the methods to authorize users for various accesses and privileges. Qubole provides SQL Standard-based authorization with some additional controls and differences from the open source. See SQL Standard Based Hive Authorization for more information.
Qubole’s Hive authorization is aimed at providing Qubole Hive users the ability to control granular access to Hive tables and columns. It is also aimed at providing granular control over the type of privileges a Hive user can have over a Hive table.
For more information, see:
Hive authorization is also supported for Hive-table-data in Presto. For more information, see: