Create Python code needed to geocode flat SQL Tables into Feature classes. Might need to find a way to catch exceptions and allow CRS team to review. This will eventually be a scheduled task that fires after the data are loaded into SQL Server from Salesforce.
Are we expecting additional tables from Salesforce outside the scope of this export or just more data w/in these tables?--- Just these tables
(Can we create views w/in SQL manually based the different fields of each table, or do we need to allow for flexibility in the future??) --- creating manually in the SQL table
When Salesforce data is exported in the future, will it be a total rewrite of the database, or just append additional records to tables? In which case the script needs to identify new records? --- for now, plan on rewriting the database
What format should the exceptions be communicated in? (csv listing table/address that didn't match, html report, email?)
Create Python code needed to geocode flat SQL Tables into Feature classes. Might need to find a way to catch exceptions and allow CRS team to review. This will eventually be a scheduled task that fires after the data are loaded into SQL Server from Salesforce.