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

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 ...

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory. The new visual ...

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 ...

As Ghodsi noted, building a data pipeline and analytics on top of it is usually an iterative service, so the faster you can go from experiment to results to the next experiment, the better.

SAN MATEO, Calif., December 6, 2022 – dotData announced that its Feature Factory technology is now integrated with and available on Microsoft’s Azure Synapse Analytics, an integrated, cloud-native ...

The new data pipes from Kyndryl, ranked No. 6 on CRN’s Solution Provider 500, allow that data to be used by applications running on Azure without physically moving the data, Goude said.

The new data pipes from Kyndryl, allow that data to be used by applications running on Azure without physically moving the data, Goude said. "Mainframes are typically used for the most critical ...