Data engineering is one of these new disciplines that in just a few years has gone from being a password to mission critical. Data engineers design and build all the connections between raw data sources (your payment information, ad tracking data, or what you have) and the final analytics dashboards used by business executives and data scientists to make decisions. With the explosion of data, so does the challenge of doing this key job, which is why a new set of tools has arrived to make data engineering simpler, faster and better than ever.
One such tool is Datafold, a YC-backed startup that I talked about just a few weeks ago as it was preparing for the presentation of the late summer Demo Day.
Well, that Demo Day presentation and the company's trajectory clearly caught the eyes of investors, as the startup blocked $ 2.1 million in start-up funding from NEA. the company announced this morning.
As I wrote in August:
With Datafold, changes made by data engineers in their extractions and transformations can be compared for unintended changes. For example, perhaps a function that previously returned an integer is now returning a text string, an accidental error introduced by the engineer. Rather than waiting until BI tools fail and a series of alerts arrive from managers, Datafold it will indicate that there is probably some kind of problem and identify what happened.
Definitely read our profile if you want to know more about the product and the history of origin.
Not much has changed in the past few weeks (some new features, some new customers), but with more money in the wallet, Datafold will continue to grow, hire and take on the world of data engineering.
Source link
