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Introduction

The portal use cases are designed to highlight the capabilities and practical implementation contexts for the data analytics tools offered by the platform. To this extent, 5 main use cases have been defined:

Name Tools
Scenario 1 - Data visualization Cloud-Agnostic’s portal services: PgAdmin, PostgreSQL, Apache Superset
Scenario 2 - Search analytics Cloud-Agnostic’s portal services: ElasticSearch, Kibana
Scenario 3 - Low code data Cloud-Agnostic’s portal services: PgAdmin, PostgreSQL, Knime
Scenario 4 - Big data analytics Cloud-Agnostic’s portal services: MinIO, Jupyter for Spark, Apache Spark
Scenario 5 - Live dashboards Cloud-Agnostic’s portal services: Apache Airflow, PostgreSQL, Jupyterlab, Apache Superset

Each scenario is characterized by:

  • Problem statement, presenting the foundational problem statement for the discussed use case;
  • Use case goals, presenting the use case goals which derive from its description;
  • Use case tools & capabilities, presenting the data analytics tools (and the key capabilities) that will be implemented to build a solution for the starting problem statement;
  • Use case guide, which is a high-level overview of the steps that need to be undertaken to correctly use the data analytics tools selected for the use case and thus achieve the use case goals.

Datasets#

A specific dataset has been chosen for each scenario in consideration of the type of the analysis undertaken: