Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...