...
- Redesigning the Data Models.
- Creating a robust database to reduce the latency.
- Synchronizing the data with the Dashboard.
Timeline
Divided into two-week sprints
Task | Timeline | Deliverables |
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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 databases | June 1, 2022 | - Setup the databases locally.
- Understand the schema.
|
Data Modeling | June 15, 2022 | - Configure the data model.
- Design the logical schema in protobuf format.
- Trigger the empty values and define a specified error flag.
|
Functional Database | July 1, 2022 | - Create a functional database
- Define a schema for the functional database.
- Ingesting data from the primary databases.
|
Testing and Validations | July 12, 2022 | - Build a test plan for the data affirmation
- Execute tests and validate the data flow process.
|
Project report and Final Documentation | July 29, 2022 | - Describe the results, observations, and insights in the final documentation.
|
Sprint timeline | Sprint plan |
13th JuneReferences
- Jira Issue:
Jira |
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server | ASF JIRA |
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serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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key | AIRAVATA-3593 |
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