Automate Your Snowflake
Data Masking
Protecting sensitive information is crucial in today’s data-driven world. Snowflake’s powerful platform benefits from data masking to safeguard data during tasks like testing analytics or sharing results with external services. By masking sensitive information, organizations ensure secure access, maintain usability, and meet compliance requirements effectively.
Optimizing data management in Snowflake
A streamlined approach simplifies data transfers within Snowflake environments, making it easier to export and import data. With UBS Hainer‘s Data Management Platform XDM, key tasks such as generating DDL statements, comparing source and target table structures, and dynamically creating necessary objects are automated to ensure smooth data migrations.
Compatibility with a wide range of data types is maintained, allowing datasets to be transferred even when there are slight differences in the target schema. By adapting data as needed and utilizing Snowflake’s bulk loading capabilities, the process ensures efficient and reliable data ingestion. A multithreaded design further reduces migration time, enabling swift and seamless workflows.
Optimizing data management in Snowflake
Strengthening data security with data masking
Protecting sensitive information during non-production workflows is essential for maintaining compliance and safeguarding data privacy. XDM introduces data masking to anonymize confidential information while retaining the structural integrity of datasets. It enables the strategic organization of large amounts of data and complex data structures.
Through its masking features, sensitive information can be obscured during the migration process, aligning with regulations such as HIPAA and GDPR. This allows developers, testers, and other stakeholders to work with accurate, realistic datasets without exposing private or sensitive details. XDM‘s masking tool provides structured, repeatable, and schedulable data masking processes.
Strengthening data security with data masking for your needs
Boosting productivity with automation and self-service
XDM eliminates the complexity of manual data provisioning by automating the process. Administrators can define the source and target Snowflake systems, configure workflows, and let XDM take care of the execution. This automation saves time and reduces the risk of errors.
In addition, XDM includes a self-service portal where users can independently manage tasks within parameters set by administrators. This balance of control and flexibility enhances efficiency, enabling faster provisioning while maintaining robust governance.
Boosting productivity with automation and self-service
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Test Data Management
XDM is a complete test data management platform that enhances agile teamwork, automates test data workflows, and supports multiple databases with secure masking.
Mask sensitive data
Secure sensitive data with XDM’s Masking Tool. Protect privacy and ensure compliance with advanced data masking for all environments.
