The Intricacies of Compliant SaaS-based Data Analytics 

TL; DR 

• Platforms like Databricks and Snowflake facilitate advanced analytics but must adhere to PCI DSS, HIPPA and other compliance regulations to secure sensitive data during processing.  
• Fortanix offers encryption, data tokenization, and data masking solutions to help organizations comply with regulations in analytics workflows.
• Fortanix integrates seamlessly with analytics platforms such as Databricks, Snowflake and other SaaS solutions for secure data usage and regulatory adherence. 

Data Analytics and Compliance Regulations 

Today, Data Processing and Analytics has become a core part of every organization’s ecosystem. Platforms such as Databricks and Snowflake provide cloud-based solutions for data storage, processing, and analytics.

They offer unique features and capabilities that cater to different aspects of data management and analytics. Each of these platforms enable organizations to perform advanced analytics and gain real-time insights, supporting collaborative data projects across teams and organizations.

Regulations such as PCI DSS, HIPPA, and GDPR play a crucial role in safeguarding sensitive data and PII on the cloud.  

Fortanix Ensures Data Security in Leading Data Analytics Solutions

At Fortanix, we understand the importance for organizations to effectively integrate compliance into their data analytics practices and ensure the protection of cardholder and other sensitive data while leveraging data for business insights. 

Fortanix's smooth integration with top data analytics platforms like Databricks and Snowflake enables organizations to securely handle sensitive data in compliance with diverse regulations.

Fortanix Snowflake Integration 

Snowflake provides data warehousing, data lakes, data engineering, data science, data sharing, and data application development. It is designed to handle various data workloads with a focus on simplicity and performance. 

Integrating Fortanix with Snowflake for data tokenization leverages external functions and an API gateway to secure sensitive data seamlessly. This setup involves defining tokenization and detokenization policies in Fortanix DSM, setting up an API gateway (e.g., AWS API Gateway) to forward requests, and creating Snowflake external functions to call these endpoints.

This approach allows Snowflake to tokenize data during insertion or updates and detokenize data on retrieval without significant changes to the existing database schema or application logic.

By implementing User Defined Functions (UDF) in Snowflake, sensitive data can be tokenized for applications consuming snowflake data thus enabling compliance with regulations like PCI DSS, GDPR, HIPPA and more.

The value proposition of this integration lies in its enhanced data security and compliance capabilities. By tokenizing sensitive data before storage in Snowflake, organizations significantly reduce the risk of data breaches while ensuring compliance with data protection regulations.

The seamless integration through external functions and API gateways ensures operational efficiency, enabling organizations to protect their data with minimal disruption to existing workflows and applications. 

Fortanix Databricks Integration 

Combining data engineering, data science, and business analytics into a single platform, Databricks supports collaborative development with shared notebooks and integrated workflows. With seamless integration with data lakes, it allows users to process large volumes of unstructured and semi-structured data. 

By leveraging both Notebooks and Python UDFs within Databricks SQL Warehouse, Fortanix implements robust tokenization and detokenization processes to ensure the confidentiality of sensitive data. This databricks integration provides a comprehensive approach to data security, safeguarding against unauthorized access and maintaining data privacy using Fortanix Data Security Manager (DSM). 

Databricks Notebooks are a powerful tool for data science and machine learning workflows, offering real-time co-authoring, automatic versioning, and built-in data visualizations.

The integration utilizes Fortanix DSM Python SDKs to connect to DSM API endpoints in the Databricks Notebook for tokenizing sensitive data. This secure transformation of sensitive data columns ensures each data element is protected.

Additionally, Python User-Defined Functions (UDFs) for Databricks SQL provide a secure and governed way to write Python code and invoke it through SQL functions. By integrating UDFs with the Fortanix DSM API, the solution performs tokenization operations to redact sensitive information such as credit card data from JSON strings, ensuring unauthorized storage and access is regulated. 

Conclusion 

Major regulatory compliances, such as GDPR, HIPAA, and PCI DSS, are significant for data analytics because they ensure the security and protection of sensitive data, which is often analyzed to gain business insights.  Fortanix’s seamless and easy integrations with leading data analytics solutions, such as Databricks and Snowflake, make it easy for organizations to securely process sensitive data while remaining compliant with various regulations. 

To learn more about databricks and snowflake integrations into Fortanix DSM platform, request a demo.