Snowflake SNOW and Microsoft MSFT are major players in the expanding cloud data platform market. Snowflake provides a ...

Discover how Snowflake Data Analytics Services can revolutionize your data strategy with real-time insights, scalable ...

Key Takeaways Understanding core concepts like supervised learning, overfitting, and evaluation metrics is vital for data ...

When its custom data pipelines began to fail at scale, one team pragmatically chose a single tool to create momentum, valuing ...

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

NoSQL databases are more flexible when it comes to data organization and are easier to use when dealing with unstructured data.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.

With its latest release, Monte Carlo becomes the first data + AI observability platform to close this gap, providing AI-powered support for monitoring both structured and unstructured data types.

The SQL query language has been the cornerstone of database technology for decades. But what happens when you bring SQL together with modern generative AI? That’s the question that Google Cloud ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Q&A Get Started Using .NET Aspire with SQL Server & Azure SQL Database By David Ramel 01/23/2025 Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, ...

Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they’re looking for.