Superconductive scores $21M Series A funding to sustain growth of its Great Expectations open source framework for data quality. Featuring CEO and co-founder Abe Gong
- May 20th 2021
Ensuring data quality is essential for analytics, data science and machine learning. Superconductive's Great Expectations open source framework wants to do for data quality what test-driven development did for software quality
Technical debt is a well-known concept in software development. It's what happens when unclear or forgotten assumptions are buried inside a complex, interconnected codebase, and it leads to poor software quality. The same thing also applies to data pipelines, it's called pipeline debt, and it's time we did something about it.
That's the gist of what motivated Abe Gong and James Campbell to start Great Expectations in 2018. Great Expectations is an open-source tool that aims to make it easier to test data pipelines, and therefore increase data quality.
Superconductive, the force behind Great Expectations, has announced it has received $21 million in Series A funding led by Index Ventures with CRV and Root Ventures participating. We caught up with Gong to learn more about Great Expectations.
Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis
I've got tech, data, and media, and i'm not afraid to use them.
My name is George Anadiotis, and i am a writer, a planner and a doer. I am an Onalytica Top 100 Influencer in Big Data and Cloud, a Knowledge Graph expert, and a P2P Foundation and ZDNet contributor, among other things.
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