Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

In a recent blog post, Microsoft announced the general availability (GA) of their serverless, code-free Extract-Transform-Load (ETL) capability inside of Azure Data Factory called Mapping Data Flows.

Now Octopai is bringing its unique approach to deconstructing ETL flows and finding the source of data discrepancies to Azure Data Factory, the popular ETL service in Microsoft’s cloud.

Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by ...

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.

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.

Azure Synapse Analytics and Snowflake are two commonly recommended ETL tools for businesses that need to process large amounts of data.