Jatinder Luthra

Snowflake data masking offers built-in protection of sensitive data. Learn how it’s used and how Snowflake masking works with Perforce Delphix from Perforce experts Jatinder Luthra and Ilker Taskaya.

Explore Databricks data masking techniques including column masking, dynamic views, and third-party tools in this blog by Jatinder Luthra, Sales Engineering Advisor at Perforce Delphix. Learn the pros and cons of different approaches and how to choose the best one for your team.

Hear from Perforce Delphix experts on the key differences between static data masking vs. dynamic data masking. Plus, find out why static data masking is a more powerful way to protect sensitive data in non-production environments.

Data masking protects sensitive data by replacing the original value with a fictitious but realistic equivalent. Dive into why it’s important, when it’s needed, and what to look for in a solution in this expert guide by Jatinder Luthra, Pre-sales Engineering Advisor at Perforce Delphix.

Unsure choosing between data masking and tokenization? Learn when to use each approach, key differences, and best practices for enterprises.

Learn how to automatically discover and mask sensitive data in Databricks with Perforce Delphix to ensure GDPR and HIPAA compliance for non-production environments.

O mascaramento de dados é um método de proteção de dados sensíveis que substitui o valor original por um equivalente fictício, mas realista. Nesse guia, Jatinder Luthra, consultor de Engenharia de Pré-Vendas da Perforce, explica por que o mascaramento, quando ele deve ser aplicado e o que considerar ao escolher uma solução.

The best approach to test data management at enterprise scale doesn’t require picking either data masking or synthetic data generation. It involves unifying them into a single, cohesive data delivery pipeline. In this blog, Perforce Delphix experts Jatinder Luthra and Ilker Taskaya detail what they’re best for and how to combine them.