VaultSpeed’s latest release, version 5.7.1, introduces several new features and improvements designed to enhance data management, organization, and security. These enhancements make VaultSpeed an even more attractive option for large enterprise implementations of Data Vault, reinforcing its position as the leading choice for enterprise data automation.
Release 5.7.1 | Enhanced Database Management, Consistent Column Ordering, and Improved Action Logs
Database and Catalog Support
One of the most significant updates is the support for specifying database names in Snowflake and catalog names in Databricks. This allows schemas to be located in different databases or catalogs, enhancing flexibility and organization. This feature enables separate databases or catalogs for various data layers like source, intermediate, raw, and business vault schemas, facilitating better I/O resource management and reducing competition for these resources. It also ensures more structured and efficient data management.To implement this, users can define database or catalog names and schema names with a specific syntax. Database or catalog names are fixed, while schema names can be dynamic, incorporating keywords that are replaced at the source level. This update allows for high-level organization of schemas across different environments and provides detailed control over data organization and security at both the project and source levels.
Deterministic Column Ordering for
PIT Tables
VaultSpeed ensures consistent sequencing of columns within signature attribute groups for Point-In-Time (PIT) tables. This enhancement maintains uniform column sequencing across all deployments, making data structures predictable and simplifying maintenance tasks.
Action Log Events
The enhancement of action log events improves privacy and traceability. In production systems, both user IDs and usernames are displayed, while in pre-production environments, only user IDs are shown to protect Personal Identifiable Information (PII). This change ensures effective traceability of user actions while maintaining privacy.
Agent Authentication Token Refresh
Security has been bolstered with the introduction of the agent authentication token refresh feature. Security administrators can now periodically update authentication credentials, reducing the risks associated with static tokens.
Logon Event Tracking
Logon event tracking has been added to the action log, providing visibility into user login activities and password updates. This enhances security monitoring capabilities by allowing security administrators to track user logins and password updates with precise timestamps.
Hash Calculation Enhancement
VaultSpeed has added support for the SHA-256 hashing algorithm for Snowflake and Google BigQuery technologies. This provides a stronger hashing option that reduces collision rates and ensures reliable data integrity.
Other Improvements
Quality of life improvements include the regular cleanup of obsolete user accounts in Jira to comply with GDPR regulations and enhance security. Support for changing the name of a hash key in VaultSpeed has also been introduced, which involves altering existing DDL statements without affecting hash-key values.
Overall, VaultSpeed version 5.7.1 brings significant enhancements to data management, organization, and security, ensuring a more robust and user-friendly experience. These updates further solidify VaultSpeed's reputation as the number one choice for large enterprise implementations of Data Vault, making it the go-to solution for businesses looking to enhance their data infrastructure. For detailed information on these updates, check out the full release notes here.
