Overview Poor schema planning creates rigid systems that fail under growing data complexityWeak indexing and duplication reduce performance and increase mainten ...

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.

Design reviews are an important facet of the system development lifecycle for database applications. It is during the design review that all aspects of the database and application code are reviewed ...

In the world of nonlinear editing, PC-based DVEs and CGs, and server-based play-to-air, the VPs of engineering at broadcast stations are now responsible for managing data and metadata. Databases ...

Developers should be aware of the hazards of using nonstandard SQL commands such as those found in Oracle, Microsoft, and MySQL systems. Instead, you should use ANSI SQL, which is a ...

Database applications serve a vital role in today’s information world, providing structured storage, access, and retrieval of organizational data. This course will explore the principles and practices ...

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

In this paper we introduce a method for platform-based design and integration of a System on Chip (SoC) using a centralized design meta-database from which all related design data such as EDA tool ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...