Support for Databricks Pointers

Prework
Currently, the pointblank package does not support ODBC or cluster connections (via sparklyr) to Databricks warehouses. Given the recent advancements in other packages such as odbc, pins, and sparklyr regarding Databricks functionality, enhancing pointblank to support these connections would be highly beneficial for many analysts.

Proposal
I propose extending the functionality of pointblank to support Databricks connections through either of the following methods:

Extend the db_tbl() function to allow connections using a syntax like
db_tbl(table = "catalog.schema.table_name", dbtype = "databricks").

• Enable connections via ODBC using the following approach:

con_db_odbc <- 
DBI::dbConnect(drv = odbc::databricks(), HTTPPath = Sys.getenv("HTTP_PATH"))
data <- tbl(con_db_odbc, I("catalog.schema.table_name"))
scan_data(data)

Implementing these features would streamline the workflow for analysts working with Databricks, allowing them to leverage pointblank for data validation and quality checks directly on their Databricks data sources.

Please let me know if further clarification or details are needed.