We’ve set up multiple data lake infrastructures for our customers. Under our projects, we customize data pipelines and gather data from different sources that enable companies to take their data analytics journey to the next level.
Our data lake project for one of our major utilities customers built a solid cloud infrastructure that consumes data from legacy sources and drone devices. Combining this into a common lake infrastructure was one of the major pain points for the company - not only in the context of analytics, but also in the context of their daily operations.
Combining and standardizing data from different sources brings additional challenges to any data engineering project.
We’ve used Airflow to set up all data pipelines required for a stable solution. Our infrastructure is deployed on a cloud provider under multi-cloud rules, brining more flexibility to our customers infrastructure.
Our data infrastructure projects are specifically designed to harness the power of cloud environments, which offer unparalleled scalability and flexibility. We begin by ingesting raw data from various operational systems into our first layer. This is where the data lake serves as a central repository for all data formats and structures, providing a single source of truth for our entire data ecosystem.
Setting up Infrastructure on Cloud
Testing pipelines and integrating data
Data Warehouse Layer