2013, ETL and ML - Data Science Current

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. We use the following prompt: Human: Your job is to act as an expert on ETL pipelines.

Database

Database AWS ETL SQL

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

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

AWS Clustering ETL Database

Data Science Current

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

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