Data Science and Big Data

In this area of expertise we include:

 Services:

• Big Data architectures for the exploitation of information (lambda, kappa...) and frameworks for mass data processing: Spark, Flink, Beam...
• Custom Data Lakes for different Cloud providers (Google, Amazon and Azure)
• Semi-automatic data governance processes, data catalogs, pre-processing and data preparation
• Specialized NOSQL repositories: MongoDB, Neo4j, Cassandra, HDFS + Hbase + Spark (and the rest of the Hadoop ecosystem), ...
• Machine learning models (association rules, supervised linear methods, neural networks, support vector machines, decision trees / randomized forests, clustering, ...)
  • Classification and regression
  • Prediction algorithms
• Specific machine learning models: natural language processing (NLP), processing of time series, image Processing / Computer Vision (CV).
• Software and model development environments: Mllib, TensorFlow, Pytorch, Keras, scikit-learn, notebooks (Zeppelin, Jupyter)…
• Calculation of indicators (KPIs), dashboards and data visualization. Use of Business Intelligence tools for graphical representation of descriptive analysis
• Construction of real-time analytics (complex-event processing, streaming analytics)