Snowflake’s focus on unstructured data is driven by the firm’s plans for agentic AI. That became clearer in February when the ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

The above lists certainly aren’t exhaustive, so it’s easy to see how and why unstructured data has come to dominate our universe. The differences between structured and unstructured data mean ...

The Databricks Inc.- and Snowflake Inc.-backed startup says its new Unstructured Data Monitoring tool gives enterprises an ...

the upshot is that companies will need to treat unstructured data with the same care as structured data – applying governance and quality checks – because it’s becoming a critical input.” ...

Despite the prevalence of unstructured data and the rise of formats that are better described as semi-structured, structured databases are important and won’t go away soon. They are easy to use ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.