Data Engineering Services

Data engineering services are a powerful tool that can help to the companies unlock the value of their data.

It has a set of services that offers you the possibility to collect, store, process and analyze data.

Benefits of Data engineering

Improve efficiency
of operations

New innovative
products and services

Cost reduction
& profit increase

Improve the security
of your data

Leverage the power of data to improve your performance and make successful decisions

Data acquisition

Process of collecting data from multiple sources in order to analyze it and use it for decision making.

It involves the collection of data from a variety of sources, such as sensors, databases, mobile devices, and the Internet.

Data transformation

It is an essential process to unlock the value of data as it allows data from different sources to be combined.

Data transformation is used to convert data from one format to another, generally from the format of a source system to that required in a destination system.

Cloud management

Includes activities such as monitoring, provisioning, and configuration.

Cloud management tools help automate and streamline these processes and are essential for organizations deploying and managing cloud-based applications and services.

PLC connections

Programmed to receive input signals from sensors, process them, and actuate outputs to control machines and processes.

PLCs can also be connected to other equipment and systems, such as computers, networks, and other automation components, to facilitate control, monitoring, and communication.

RPA (Robotic process automation)

Technology that automates repetitive and mundane tasks typically performed by humans. It uses computer software or robots to automate manual processes that are rule-based and repeatable.

Robotic process automation allows organizations to improve customer experience, reduce costs and
increase productivity.

Data base development and management

Process of creating and maintaining systems that store, organize and manage data. This involves the creation of database models and designs, and the implementation of these models and designs into a usable software application. It also involves the ongoing maintenance and enhancement of these databases.

Contact People
Ignacio Baro

Ignacio Baro

Head of Data Engineering

LinkedIn email

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this reflected
in numbers?

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