DataHub provides test and learn support to UBS innovation lab

finos / datahub

DataHub - Synthetic data library

https://datahub.finos.org

Apache License 2.0

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DataHub provides test and learn support to UBS innovation lab #27

Closed mcleo-d closed 4 years ago

mcleo-d commented 4 years ago

Description

This issue has been created to help support and guide UBS in the Installation, Running and Modelling of test data to inform UBS feedback and next steps into the DataHub project team.

Success Criteria

[x] UBS can Clone, Build and Run DataHub on a local machine.
[x] UBS have modelled test data that represents a small scale internal test scenario.
[x] UBS have provided feedback and next steps to the DataHub project team.

Definition of Done

UBS have enough information to make an informed choice on moving forward with DataHub and have provided collaboration requirements to the DataHub project team whilst agreeing next steps.

mcleo-d commented 4 years ago

@grovesy - Just letting you know Kimmy is out of office and I'll be arranging an update session upon her return 👍 Can you email her to ask if she requires further support?

grovesy commented 4 years ago

Great - I've started work on ISDA common-data-model examples which should take us through some examples of creating entities like accounts, trades, etc

mcleo-d commented 4 years ago

The following is the project update between @kimmyyoo, @grovesy and @andrewcarrblue.

@kimmyyoo's synthetic data requirements aren't necessarily solved by a single tool in the marketplace. This includes DataHub.
Investigations still ongoing to find relevant tools, including taking development in house.
@kimmyyoo introduced to https://github.com/finos/datahub/issues/30#issuecomment-651734549 by @andrewcarrblue.
@kimmyyoo to investigate team requirements for adding synthetic data requirements to DataHub and DataHelix backlogs.
@kimmyyoo invited to join DataHub and DataHelix project calls and agreed a monthly cadence, with additional meetings where needed.
@kimmyyoo to investigate additional team members to join who are close to project requirements and who can help groom ongoing synthetic data stories.
@mcleo-d to update engineering stakeholders on progress being made.