Data Engineering & Architecture
The foundational cornerstone of every data analytics solution.
The different areas of an organization increasingly demand data to help them make better business decisions. To meet these needs, a strong data architecture is required, consisting of a combination of technologies that enable addressing information requirements in enterprises.
The architecture is built upon data engineering processes, which serve as the foundational cornerstone for data analytics projects. It is the discipline responsible for obtaining, cleaning, integrating, and enriching data to enable any subsequent analysis. This stage is critical in the entire process and occupies 80% of the time in data & AI projects. Any analysis stemming from incorrectly processed data will result in more errors, making it crucial.
At Datalytics, we develop and optimize data architectures to be scalable, cost-effective, and, above all, to generate real value for the business.
Advantages
Datalytics’ Data Engineering & Architecture services offer the following advantages:
Expert know-how
Our team includes certified individuals in the latest market technologies (Databricks, Azure, AWS, dbt, etc.). We stay updated on the latest developments to make the architecture as optimal as possible.
Full control of the entire data lifecycle process
We address issues associated with data acquisition systematically and autonomously, ensuring consistency across various information sources.
Data standardization
We apply logics, patterns, and conversion algorithms to transform data into a consistent and preferred format.
