and provide tools to troubleshoot bad data with granular pipeline observability so you get a high-fidelity lineage diagram of your pipeline, track dependencies, and aggregate data quality metrics ...

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

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 ...

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

What was it like to build and scale LinkedIn's data pipeline? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the ...

Today the company took the wraps off Data Pipeline, an infrastructure product that will let its users create links between their Stripe transactions data and data stores that they keep in Amazon R ...

Hevo Data has built a data pipeline platform to make it exceedingly easy for firms to integrate and fetch data from different sources to one dashboard as well as to supply it to popular cloud data ...