WHAT WE DO
Data platform:
Improve developer experience
Threat your data platform as an internal product
A data platform is much more than a bag of tools. A data platform is an internal productivity tool aiming to bring a unified experience to your data engineers across all tools of your data landscape.
The data platform should offer capabilities around data storage, data engineering, and data orchestration. It should also bring capabilities around monitoring, data quality, data discoverability, data access and many more. Your data platform is the place to introduce a data governance by desing.
What is a data platform?
A data platform is not a tool, it is an experience. Many organizations aim to build their data platform on top of one tool, let's say Databricks or Snowflake. Others combine a bunch of open source technologies and cloud services to leverage a data platform. While both approaches might provide you with all capabilities you need to build your data use-cases, neither bring you a data platform as we define it at Dataminded.
We see a data platform as an internal product serving all your data workers. As such the data platform needs to balance flexibility and standardization: many data workers prefer a particular tool, yet no one likes to maintain those tools and a data platform team cannot maintain plenty of them. As your data platform is an internal product, it should be very much desirable by its users, your data workers. The data platform therefor should focus on the developer experience, regardless whether it consists of a single tool, or is a collection of tools.
Why do you need data platform thinking?
Building a data platform is not the core business of many companies. Delivering value from data is. As data is becoming more important every day and more and more people start interacting with data, organizations risk of creating a huge maintenance overhead on tools and pipelines. However, to allow you to keep focussing on your value objectives, you want to minimize this maintenance effort and maximize the time you can spend on new data development. This is where platform thinking taps in.
Your data platform should only require a few people to maintain and upgrade it, while serving many data workers. Those data workers will be relieved from repetitive tasks and can start following paved roads. By freeing up time and accelerating development, your data workers will become more productive than ever before.
How can Dataminded help you build your data platform?
Whether you have a first version of your data platform or start from a blank slate, we at Dataminded can assist you with design and implementation of your data platform.
Accelerate your data platform
Most organizations have quite similar needs with regards to their data platform. That is why Dataminded has been an incubator for Conveyor, a Data Product development workbench. The use of Conveyor can speed up your data platform implementation and reduce the time to value for your first Data Products quite drastically.
You want to improve your developer experience right now?
Always wondered how you could make your data developers more productive? Platform thinking might be the solution! We can certainly help you. We are proud partners from Conveyor, but can also create a custom experience.