Initially revealed on April 12, 2022.
As firms transfer to Spark and a Lakehouse structure, they’re realizing that the info instruments are lagging method behind. That you must be a programmer to successfully use Spark and Airflow.
There are some low-code ETL instruments, however is that sufficient? Corporations wish to deal with their knowledge pipelines like mission-critical apps. They need DevOps for knowledge, with GIT, check protection, and CI/CD. As well as, firms want end-to-end visibility of their knowledge pipelines, together with monitoring, metadata, and column-level lineage.
The place are the info instruments for these capabilities and the way do non-programmers use these?
In at present’s podcast, you’ll see how Prophecy’s low-code knowledge engineering platform, constructed on Spark and Airflow, gives an entire resolution for creating, deploying, and monitoring knowledge pipelines. We’ll communicate with Raj Bains, who’s the founder & CEO of Prophecy.
Raj has spent 20 years constructing highly effective instruments – Microsoft Visible Studio, founding engineer for CUDA at NVIDIA, product supervisor for Hive at Hortonworks. He’s enthusiastic about making all organizations productive with knowledge and making the lives of knowledge engineers higher by decreasing toil and growing the enjoyment.
Additionally, if you happen to like what you hear, Prophecy has a particular supply for our listeners. Go to Prophecy.IO/request-a-demo and put in “SED” for the referral code. If you happen to resolve to buy inside 3 months of the demo, you get 10% off. If you buy after 3 months, you continue to get 5% off.
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