To move from experiments to advantage, companies need to rethink three fundamentals: infrastructure, financing and ecosystem ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

That was followed quickly with a zero-ETL connection between Redshift and Apache Spark, the popular big data processing framework that is used in Amazon EMR, Amazon Glue, and Amazon SageMaker. AWS ...

Azure Data Factory. Data Factory is a service for code-free data movement and data transformation pipelines to make it easier to integrate data from various sources into data warehouses: Think ETL ...

Rewriting or translating ETL pipelines to cloud-native languages and ETL frameworks like PySpark or Azure Data Factory allows you to retire your legacy ETL tool entirely. Each approach has its own ...

The company has a bigger presence on the Azure cloud than any other, so Azure Data Factory, or ADF, is the first cloud-native ETL tool that the company is supporting, with others planned for the ...

Whether you're shifting ETL workloads to the cloud or visually building data transformation pipelines, version 2 of Azure Data Factory lets you leverage conventional and open source technologies ...