Data
Learn how to access and get insights of your data
FP's data offering is in beta and available to only select customers
With FP, you can access all your transactional data in the following ways
- Query your data on FP Dashboard
- Get your data pushed into your data warehouse
Querying
Using the query editor,
- Write custom sql queries to extract information in the format that suits your use case.
- Export data in csv format
- Schedule automatic fetch of your data (coming up)
For example, use the below query to fetch list of active purchase plans with next installment due in 2 days
SELECT
mf_investment_account,
id,
scheme,
amount,
next_installment_date
FROM mf_purchase_plan
WHERE
state = 'active'
and next_installment_date is not null
and next_installment_date >= current_date
and next_installment_date <= (current_date + interval '2' day)
Get data in your data lake
FP makes your data available in your data lake setup in Apache Iceberg format. You can connect and query from any query engine that support Iceberg format like Amazon Athena, Google BigQuery etc.
GCP Stack
FP needs access to the following to send data to your data lake
- Read & Write access to a GCP Cloud Storage bucket (FP will periodically push data into this bucket)
- Read & Write access to a GCP BigQuery dataset (FP will create BigLake tables in this dataset)
You can query the data using GoogleSQL syntax. For more information, read https://cloud.google.com/bigquery/docs/query-iceberg-data