Support and assessment on the design and/or implementation of Data Analytics solutions, bringing competences on data analytics, data processing, and data modelling techniques, over some of the most used tools / platforms.
SERVICE DESCRIPTION
Support and assessment on the design and/or implementation of Data Analytics solutions, bringing competences on data analytics (EDA and data visualization), data processing (data cleansing, normalization, codification), data modeling (Machine Learning, predictive algorithms) over some of the most used tools/platforms in data science: Jupyter Notebook, Python, Orange. The service might be subject to a viability evaluation to see if the required languages, tools, or technologies can be assessed or are within our area of expertise.
SPECIAL ACCESS CONDITIONS
Non-Disclosure Agreement to be signed among the parties to protect the IPR of the participants
PREREQUISITES
The user must have prior knowledge on Data Analytics and/or Machine Learning. And, the user must have a large dataset and a first solution prototype that could be deployed on ITI Big Data Infrastructure, on which to bring our support or assessment.
CASE EXAMPLES
A user is developing a data-based solution that analyses or exploits a large or complex dataset and would like to have the support or assessment from an external, independent party to improve the solution from a technical perspective.
SERVICE CAN BE COMBINED WITH
It can be combined with any service that requires to process large amounts of data (with Spark) or perform machine learning tasks in python (with Jupyter). Examples could be databases, visualization tools, data ingestion tools, etc.
