How to Apply Data Governance for IBM Netezza

Effective data governance for IBM Netezza involves real-time auditing, dynamic masking, data discovery, robust security, and rigorous compliance measures. This article provides a structured approach to applying these core elements to safeguard data and streamline compliance. Learn more about Data Compliance and Regulatory Compliance.

Introduction

Organizations leveraging IBM Netezza for advanced analytics face significant challenges in managing sensitive data securely while meeting regulatory standards. Effective data governance reduces risks, ensures compliance, and enhances operational efficiency. This guide outlines how to implement comprehensive data governance tailored for IBM Netezza environments.

Real-Time Audit Setup

Real-time auditing tracks user actions and query executions continuously. IBM Netezza's Advanced Query History provides foundational audit capabilities, enabling granular tracking and reporting.

Audit Setup Commands:

Create an audit user:

CREATE USER audituser WITH PASSWORD 'password';
GRANT CREATE DATABASE TO audituser;

Create a history database:

nzhistcreatedb -d auditDB -t query -v 1 -u audituser -o audituser -p password

Configure auditing:

CREATE HISTORY CONFIGURATION all_hist HISTTYPE QUERY DATABASE auditDB USER audituser PASSWORD 'password' COLLECT QUERY,COLUMN LOADINTERVAL 5 LOADMINTHRESHOLD 4 LOADMAXTHRESHOLD 20 STORAGELIMIT 40 LOADRETRY 0 VERSION 1;
SET HISTORY CONFIGURATION all_hist_on;

Restart the Netezza system:

su - nz
nzstop
nzstart

Verify auditing setup:

SELECT SESSIONID, DBNAME, TABLENAME FROM AUDITDB.AUDITUSER."$hist_table_access_1";

Real-time audit capabilities support forensic analysis and compliance with GDPR, HIPAA, and PCI DSS. Additional details about Audit Trails and Database Activity History can be reviewed to enhance understanding.

Dynamic Data Masking

Dynamic masking protects sensitive data on-the-fly without altering the original data. IBM Netezza supports dynamic masking using encryption methods.

Masking Setup Example:

CREATE VIEW nz_masked_vw AS
SELECT
usr_id,
usr_login,
usr_email,
'****' || SUBSTR(usr_phone, LENGTH(usr_phone)-3, 4) AS usr_phone_masked,
SUBSTR(usr_card, 1, 4) || '-****-****-' || SUBSTR(usr_card, LENGTH(usr_card)-3, 4) AS usr_card_masked
FROM nz_sensitive_data;

SELECT * FROM nz_masked_vw;

This setup ensures sensitive data remains concealed from unauthorized users, as detailed on the IBM Dynamic Data Masking page. Explore more about Dynamic Data Masking and Data Masking Types.

Data Discovery

Effective governance requires comprehensive data discovery. DataSunrise automates this with Sensitive Data Discovery, identifying data types like PII, PHI, and financial details automatically.

Automatic discovery enhances compliance with standards like SOX and overall data security. Further details can be explored on the Data Discovery and Compliance Regulations pages.

Advanced Security Integration

IBM Netezza's security is enhanced by integrating DataSunrise's automated policy management. Leveraging No-Code Policy Automation simplifies security administration. This approach reduces administrative workload, enabling precise enforcement of Role-Based Access Controls (RBAC) and mitigating threats such as SQL Injection.

Autonomous Compliance Orchestration

Compliance Autopilot by DataSunrise automates continuous regulatory alignment with frameworks such as GDPR, HIPAA, and PCI DSS. It ensures constant calibration and eliminates compliance drift. This facilitates audit-ready reporting, reducing manual compliance tasks significantly. Learn more on the Automated Compliance Reporting page.

Cross-Platform Integration

The Unified Security Framework supports diverse environments including cloud, on-premise, and hybrid systems. DataSunrise integrates natively with platforms like AWS, Azure, and Google Cloud without complexity.

Cross-Platform Configuration Example:

• Select your deployment environment (cloud/on-premise/hybrid)
• Apply integration settings automatically provided by DataSunrise

Explore details on Deployment Modes and Unified Security Framework.

Conclusion

Applying robust data governance for IBM Netezza through real-time auditing, dynamic masking, comprehensive data discovery, and automated security ensures seamless compliance management. DataSunrise’s zero-touch compliance approach significantly reduces manual overhead and compliance risks. Explore DataSunrise’s advanced tools and schedule a demo for effortless implementation and autonomous compliance management at Schedule a Demo.