Data Analytics involves examining large datasets to uncover patterns and insights, empowering organizations to make informed, data-driven decisions.
An e-commerce company uses Amazon Redshift and Google BigQuery to analyze millions of purchase records, discovering that customers who buy running shoes are 3x more likely to purchase fitness trackers within 30 days — allowing them to send targeted recommendations that boost sales.
These are managed cloud data warehouse services commonly used for large-scale SQL analytics. They store data in columnar formats, scale compute and storage, and integrate with BI tools for dashboards and reporting.