Batch Analytics at Warp Speed: A User Guide
Here's a quick thought experiment: what would it mean for your business if all your batch jobs completed instantly instead of running for hours?
How would this improve the UX of your existing products?
More intriguingly: what new use cases would you unlock if you had instant answers to all your complex analytical queries, as soon as the user submits a web form, makes a payment, or visits a branch?
This might sound like idle musings. After all, the laws of computational complexity tell us that some computations require time. While we may not make batch jobs much faster, we can replace them with something better: always-on incremental pipelines that update the results in real time as input data changes.
To users accustomed to traditional batch analytics, this creates a surreal effect of the batch job completing instantly.
Our new user guide describes how to achieve this for your existing Spark jobs by converting them into incremental Feldera pipelines. Try it out and experience warp-speed analytics with just a click in the Feldera online sandbox.
š Maximum warp!
