Amazon Aurora zero-ETL integration with Amazon Redshift enables customers to analyze petabytes of transactional data in near real time, eliminating the need for custom data pipelines Amazon Redshift ...

The rapidly changing world of data engineering has seen a significant shift with the combination of Apache Spark, Snowflake, and Apache Airflow. This trio allows organizations to build highly ...

A major theme at re:Invent 2022 was Amazon's efforts to ease data management, as AWS announced new ETL capabilities and features for collaboration, searching and cataloging. Simplifying data ...

Extract, transform, and load (ETL). Those are three words that when placed side-by-side in nearly any order strike fear into people across all levels of business. ETL is perhaps one of the most ...

Big-data company Qubole Inc. is beefing up Apache Spark, making it more flexible and easier to use by giving its customers the ability to run Spark applications on Amazon Web Services Inc.’s AWS ...

Amazon Web Services (AWS) is doubling down on data management and has declared its bold vision to eliminate the need to extract, transform and load (ETL) data from source to data storage systems for ...