O

OLAP

Sparkify, a music streaming startup, has grown their user base and song database and is moving their data processing to the cloud. This project implements a high-performance ETL (Extract, Transform, Load) pipeline that extracts raw JSON logs and metadata from Amazon S3, stages the data in Amazon Redshift and transforms it into a Star Schema optimized for song play analysis and business intelligence.

This architecture enables the analytics team to gain deeper insights into user behavior, popular songs, and artist performance with high-concurrency and low-latency queries.

DuckDB bindings for Kit - in-process analytical database

OER related to data management

O presente projeto tem como objetivo versionar os schemas mondrian de mapeamento dos cubos OLAP's