SP/GP data migration - Transform Data
- Dominant language
- JavaScript
- Stars
- 23
- Forks
- 62
- Avg merge
- 24m
- Merged PRs (30d)
- 1
Description
Now that we have extracted a copy of the firm info from Oracle database, we need to transform so that we can load it into Legal database.
- [ ] Determine how to deal with addresses - if the address transforms are too hard to reliably automate, we can do things like combine lines 2&3 into the address_additional line, leave country and region empty. The Address component would need to handle that data coming in, and we then require the user to reformat the address to be correct before updating it. We would “relax” the constraints on loading of the data, and then enforce the constraints going forward for things like Country being a mandatory field
- [ ] Things to get started on at the same time is Testing/Verification … how to best automate a quality control check that the transforms put data into a useable state
- [ ] Determine whether we need to build new 'historical' outputs
- [ ] Determine whether we need to bring over historical filings with historical filing type codes
- [ ] Anything we need to do special about DBA data?
Google Spreadsheet and Google Doc created to help with keeping track of the data loading issues/questions. Introduced to make things easier to communicate and streamline the process of dealing with the little issues that we will need to work through during the data loading process.
The spreadsheet is meant to give a high level view of the issues and issues requiring more conversation, info, screenshots etc will have an entry in the google doc.
Google Spreadsheet - https://docs.google.com/spreadsheets/d/1NWB5JobM5LNKC3NldcUTbY4omMomqYdZt9Ozy5fPaS8/edit?usp=sharing
Google Doc - https://docs.google.com/document/d/1WPC5zEj8sKvMnzXubr2CrjsAEnqcpGnyfUvj2TUhKa8/edit?usp=sharing
Contributor guide
No contributing guide indexed for this repository
Research direction
No repository files, tests, or entry points are identified. Start by reviewing the linked Google Spreadsheet and Google Doc alongside the migration checklist, then determine the scope for address transformation, verification, historical data, filings, and DBA records. Done means the open decisions are resolved and a validated transformation process is defined.
Written by the indexing model from the issue text.
Assessment
- Domain
- data-engineering, databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100