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Datacoral’s Data Programming Language backed by a Fully Serverless Runtime Platform allows its customers to automate data pipelines.
Every day we produce 2.5 quintillion bytes of data. In a bid to make sense of all this data, businesses have begun to employ and train data scientists and machine learning engineers. These job categories are so hot that a report by LinkedIn found that 6.8X more people list their jobs as Data Scientists and 9.8X more as Machine Learning Engineer today than they did five years ago.
Introducing Datacoral: A Secure, Scalable Data Infrastructure
Today, I could not be more excited to publicly launch Datacoral and announce our $10M Series A, led by Sudip Chakrabarti at Madrona Venture Group with participation from Social Capital and other investors. At Datacoral, we are taking a fresh look at how data-driven companies can dramatically reduce time spent managing data infrastructure — and instead focus on driving more business value from that data. Today, companies of all sizes want to be data-driven, which means successfully using the data they own to make their products or services better. But building infrastructure can be one of the biggest barriers to companies

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