Big-Data
We handle large amounts of data
Nowadays, any project involves the manipulation, processing and analysis of large volumes of data.
This data comes from multiple records of operations, sensors and events that are stored in databases.
At Nonlinear we apply methodologies and tools linked to data-science and big-data to efficiently manipulate this data and extract from it the value required for different types of applied tools.
How do we implement a Big-Data project?
1Data ingestion and preprocessing procedures
Depending on the problem addressed and the client's requirements, we create the data ingestion and pre-processing procedures.
2Domain understanding
We seek to faithfully understand the physical and logical processes involved, which we consider key to being able to generate tools that capture reality as well as possible.
3Computational efficiency
We develop efficient processes for processing, analyzing and extracting relevant information from the data.
4Communication and co-development
We seek to constantly communicate the results, obtaining early interaction and co-developing the tools together with the stakeholders.