Adam Levin

ETL can be challenging, time-consuming, and costly. AWS is building a zero-ETL future with capabilities like streaming ingestion into the data warehouse, federated querying, and connectors that access data in place across databases, data lakes, and third-party data sources without data movement.

The integration requirements across a growing data landscape and diverse data stores present a substantial extract, transform, and load (ETL) challenge. Zero-ETL and adjacent technologies such as low-code, no-code, and visual code let builders focus more on creating value from data than preparing data.

Companies increasingly need near real-time analytics on operational data to better understand their customers and core business drivers to improve user experience and optimize business processes. Today, operational analytics systems are limited to a single database or consist of building custom data pipelines that can be challenging and costly to manage and at times create hours-long delays to...