Remove Data Classification Remove Data Engineer Remove Data Lakes Remove ETL
article thumbnail

Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock

AWS Machine Learning Blog

This following diagram illustrates the enhanced data extract, transform, and load (ETL) pipeline interaction with Amazon Bedrock. To achieve the desired accuracy in KPI calculations, the data pipeline was refined to achieve consistent and precise performance, which leads to meaningful insights.

AWS 75
article thumbnail

Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

article thumbnail

Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.