Flipboard

NOVEMBER 24, 2023

Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. Specifically, your job is to create a JSON representation of an ETL pipeline which will solve the user request provided to you.

Database 156

Database AWS ETL SQL 156

AWS Machine Learning Blog

FEBRUARY 2, 2024

The embeddings are captured in Amazon Simple Storage Service (Amazon S3) via Amazon Kinesis Data Firehose , and we run a combination of AWS Glue extract, transform, and load (ETL) jobs and Jupyter notebooks to perform the embedding analysis. Set the parameters for the ETL job as follows and run the job: Set --job_type to BASELINE.

AWS 124

AWS Clustering ETL Database 124

AWS Machine Learning Blog

JUNE 9, 2025

We use multiple data sources, including Amazon S3 for our storage needs, Amazon QuickSight for our business intelligence requirements, and Google Drive for team collaboration. About the authors Evan Miller , Global Head of Product and Data Science, is a strategic product leader who joined Kepler 2013.

AI 79

AI AI AWS Business Intelligence 79