2010 Data Analysis SQL 
AWS Machine Learning Blog
DECEMBER 4, 2024
They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.
Tableau
DECEMBER 1, 2021
Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation.
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Tableau
DECEMBER 1, 2021
Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation.
AWS Machine Learning Blog
NOVEMBER 18, 2024
It uses the LLM’s ability to write Python code for data analysis. Some out-of-the-box data analysis tools, such as LangChain’s Pandas agent , are available in open source libraries. However, for certain data analysis tasks, it would be preferable to directly output the result of Python code.
AWS Machine Learning Blog
NOVEMBER 18, 2024
Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.
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