Data-integration pipeline platforms move data from a source system to a downstream destination system. Because data pipelines can deliver mission-critical data and for important business decisions ...

Native dynamic tables, a new feature that is now in private preview, automates incremental processing through declarative data pipeline development.

Google is extending differential privacy capabilities to the Python language, with an open source tool, called PipelineDP, for creating pipelines that aggregate data containing personal ...

In the industry of streaming services, the ability to process and analyze massive volumes of viewership data has become a key differentiator for companies aiming to optimize user experience and ...

Conclusion Preventing downtime in real-time data processing ensures that businesses can leverage timely insights, fostering agility and informed decision-making.

Setting up a data processing pipeline is a juggling act. What applications work with the backend? Can those applications work together? What about fitting it into existing infrastructure?

Cloud giant Snowflake has agreed to acquire Datavolo, a data pipeline management company, for an undisclosed sum.

Ascend.io, a company developing a platform to help automate data normalization, collection, and more, has raised $50 million in a venture capital round.