Our Services
Your data is your main asset. And you don’t only have the right but the need to leverage it for making informed business decisions. We design, build and work with data and ML systems. No matter where you are, we have a solution that fits your needs.
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How does Data Engineering, ML Engineering and Data Analytics relate to each other?
Just like any house, if the foundations are not set, it’s impossible to gain any valuable insight about your data. Simply.
Services
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DATA Enginering
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ML Engineering
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Data Analytics
Frequently Asked Questions
Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data. Each company nowadays employs, will need or is in need of professionals trained in this specific area. Data Engineers jointly with Cloud Architects/Engineer do have the responsibility of building a robust data platform.
Machine Learning (ML) engineering is the practice of designing and building systems for the whole lifecycle of models (feature engineering, training, testing, deploying, monitoring, etc). This is a crucial aspect that needs to be built on top of a proper data platform.
Depends on your business requirements. These are high tickets that can vary on the seniority level requested. For Junior profiles, it could cost around $50/hour, while Senior profiles highly specialised could cost easily $200/hour.
Yes, it is possible. But this is like building a house without a contractor that has the experience and professional knowledge. Of course you can learn from the content of Internet (even our blog), you can go to Home Depot and start on your own, but will you be confortable living there?