AWS Machine Learning Blog

MARCH 14, 2024

Using structured data to answer questions requires a way to effectively extract data that’s relevant to a user’s query. We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data.

SQL 132

SQL AWS AI AI 132

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 157

Database AWS ETL SQL 157

Alation

FEBRUARY 20, 2020

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

phData

MAY 25, 2023

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In late 2021, Power BI introduced custom SQL queries to Snowflake using DirectQuery.

Power BI 84

Power BI Analytics Analytics Azure 84