Big Data, Data Classification and ETL

Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Flipboard

JUNE 26, 2023

Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job. When the data is in CSV format, use an Amazon SageMaker Jupyter notebook to run a PySpark script to load the raw data into Neptune and visualize it in a Jupyter notebook.

AWS

AWS ML ML ETL

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. Users can write data to managed RMS tables using Iceberg APIs, Amazon Redshift, or Zero-ETL ingestion from supported data sources.

SQL

SQL Data Analyst Data Warehouse AWS

Data Science Current

Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

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