AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

An unsecured database exposed 4.3 billion LinkedIn-derived records, enabling large-scale phishing and identity-based attacks.

Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

Expected Time Savings: By running TSK-0001 and TSK-0002 in parallel during Week 1, the team can save 1.5 days of sequential execution time. Per EXECUTION_PLAN.md: Sequential execution: TSK-0001 (2 ...

Abstract: For the evolution and maintenance of legacy systems, it is essential that they are reverse engineered. It is becoming important because in many Legacy systems, suitable documentation is not ...

Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. SQL Server 2025, now in public ...

Abstract: Automated schema matching for multi-source heterogeneous databases can effectively promote data integration and interoperability, enhance data quality, support data migration and ...

Migrating your Oracle database to AWS Relational Database Service (RDS) can be daunting, but with the right planning and execution, it can significantly improve performance, scalability, and ...