With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Applications rely on a treasure trove of data that is constantly on the move -- known as a data pipeline. While there may be a vast amount of data, the concept is simple: An app uses data housed ...

According to the data lake and warehouse provider, Delta Live Tables uses a simple declarative approach ... the analytical data pipeline arena, another emerging option that’s getting a lot ...

A data pipeline is a software workflow that moves information between applications. Such workflows can, for example, combine ad campaign performance metrics from two marketing tools and load them ...

“Today, NetApp unveiled new innovations that make the AI data pipeline simple to deploy as well as scalable and performant across your hybrid multi-cloud data estate – while protecting that ...

Prophecy Inc. is taking advantage of the rising hot market of data engineering and bringing it to the masses, providing a low-code environment that enables the development of simple yet high ...

His work involved using advanced services like S3, EMR, and Redshift to handle and process massive volumes of data ...

Data management platform Onna is developing a new product, currently in beta, called AI Data Pipeline, which looks to help corporate legal teams use retrieval augmented generation to make the ...

“Today, NetApp unveiled new innovations that make the AI data pipeline simple to deploy as well as scalable and performant across your hybrid multi-cloud data estate – while protecting that same data ...