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.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

Excel offers a robust set of tools to import data from various external sources, making it a versatile, lightweight database solution. You can move data from a CSV or TXT file, specify the character ...

Economic stories are often built on data. This information can shape how the public understands financial conditions, ...

My expertise lies in financial analysis, risk management, data analysis using SQL, Python, and machine learning tools.

Use the tools and techniques of data analysis to make sense of mountains of information.

Power Pivot supports data integration from diverse sources such as Excel, SQL databases, CSV files, and online services, simplifying large-scale data analysis.

What really turned the corner for general data analysis using SQL is the ability for a user to not to have to worry about what kind of table structure they have.