A Big Data platform allows the ingestion, storage, processing and exploitation of large volumes and types of data for the development of use cases and applications. It facilitates the adjustment of the customer’s needs in terms of data source typologies, volumetry, data access, security levels, regulations and data consumption, and applying it to the current or future use cases of our customers is a mammoth task. We must select the deployment model (cloud or on-premise), the services required from the huge variety available (providing a consistent vision for all the developments to be executed on the platform), their execution models (real time, near real time and batch) and the data governance to size the underlying infrastructure in keeping with all the decisions made. It’s also responsible for creating an application flow that allows the application of Agile, DevOps and MLOps methodologies to reduce the production start-up times of the business use cases from their conceptualisation to their exploitation by the customers.
The Data Architecture service covers the need to create Big Data platforms tailored to customers’ needs and focused on the different on-premise and cloud deployment models.
Benefits of Data Architecture for your organisation
Other solutions that may interest you
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Data Visualisation
The Data Visualisation service provides customised development of interactive dashboards on which the business insights extracted by analysing the information are presented in a simple and intuitive way. These visualisations provide an understanding of the data, its trends and existing patterns. These tools are essential when it comes to analysing large volumes of information and ensuring that the decision-making is data driven.
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Data Engineering
Data Engineering
The Data Engineering Analytics services enables us to transfer the information from the original data sources to the storage and analysis platforms and carry out the required basic transformations along the way. The service also specialises in the operationalisation of projects with the production start-up and the automation of recurring processes.
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Data Science
Data Science
The Data Science service analyses large volumes of structured and non-structured information in order to generate and discover valuable insights into business problems. By applying Machine Learning algorithms to a set of data, we can generate a system based on artificial intelligence that executes tasks that normally require human intervention. These tasks generate new knowledge that can be transformed into tangible actions during the daily operations of the business.
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