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  • Redesigning the Data Models.
  • Creating a robust database to reduce the latency.
  • Synchronizing the data with the Dashboard.

Timeline

Divided into two-week sprints


TaskTimelineDeliverables
Study Airavata Django Portal Framework (ADPF)May 27, 2022
  • Setup the Django portal locally.
  • Study the procedure of the computational experiment
  • Understand the input file format to function the experiment.
  • Understand the Gaussian log.
  • Create a customized Django application.
Initializing the databasesJune 1, 2022
  • Setup the databases locally.
  • Understand the schema.
Data ModelingJune 15, 2022
  • Configure the data model.
  • Design the logical schema in protobuf format.
  • Trigger the empty values and define a specified error flag.
Functional DatabaseJuly 1, 2022
  • Create a functional database
  • Define a schema for the functional database.
  • Ingesting data from the primary databases.
Testing and ValidationsJuly 12, 2022
  • Build a test plan for the data affirmation
  • Execute tests and validate the data flow process.
Project report and Final DocumentationJuly 29, 2022
  • Describe the results, observations, and insights in the final documentation.
Sprint timelineSprint plan13th June

References

  1. Jira Issue:
    Jira
    serverASF JIRA
    serverId5aa69414-a9e9-3523-82ec-879b028fb15b
    keyAIRAVATA-3593