Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

CEO and Co-Founder of A Cloud Guru, a tech skills development company with an online learning platform that's teaching the world to cloud. One of the biggest enemies of a cloud practitioner is time.

Microsoft offers two paths for running enterprise databases: SQL Server, which you install and manage yourself, and Azure SQL, which Microsoft runs for you as a managed service. Both use the same ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

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Rethink high availability and disaster recovery for cloud-native database migration. Improve resilience, minimize downtime.

Artificial intelligence (AI) and machine learning (ML) are some of the most hyped enterprise technologies and have caught the imagination of boards, with the promise of efficiencies and lower costs, ...

Database management is a thorn in the side of engineers everywhere, but it doesn't have to be. That's Google's pitch -- today during its annual Cloud Next conference in San Francisco, it announced new ...