The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

A small orchestra provided the opening prelude for Tuesday’s keynote session at Snowflake Inc.’s annual conference in San Francisco. When the music stopped and the lights went up, the conductor was ...

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. Snowflake is adding generative ...

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two different types of processes to move data from a source system to a destination system. ETL extracts raw data from a source ...

The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles. My team of data and analytics researchers and consultants falls into two main ...

Many estimate that 80% to 90% of the world's data is unstructured. Marketplaces have existed for as long as humans have engaged in buying and selling. The markets of the past, including agoras, ...

The success of pharmaceutical companies in developing drugs for treating and curing medical conditions is largely dependent on the quality and completeness of data they gather from clinical trials and ...