How do you make sure that when real data is thrown at your data system that it works as you expect?
You’ve selected your data integration vendor – all the bells and whistles are there. You’ve even completed a proof-of-concept with them to make sure that one difficult thing can be done reasonably well. You also persuaded your boss to pay for the whole thing.
And now you are trying to figure out how to build out the actual, stable and usable production environment with the platform. And this is where the difficulty lies – the developers can build the code; the business users can test and approve it. But how do you make sure that when real data is thrown at the system that it works as you expect?
Watch this webinar to learn more about:
- How having a robust platform is one of the critical aspects of running any production workload.
- How CloverDX can be easily deployed in an environment that you can trust.
- How you can monitor your workloads in CloverDX.
- How to take care of your CloverDX production to ensure that your instance is healthy.
Calvin Cortez works with customers to introduce CloverDX, prototype rapid solutions to meet different use cases, and solve specific client data problems.
CloverDX has been working at the coalface of data challenges since 2007. We’ve worked with companies large and small around the world, in industries such as finance, healthcare and consulting, to help them build and manage better data pipelines and deliver better data outcomes.