Accelerated-Healthcare-Revenue-Management-Insights-using-Azure-and-Databricks/Gold Layer Queries.py at main · phungthibacha/Accelerated-Healthcare-Revenue-Management-Insights-using-Azure-and-Databricks · GitHub

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# Databricks notebook source
# MAGIC %sql
# MAGIC --Total Charge Amount per provider by department
# MAGIC select
# MAGIC   concat(p.firstname, ' ', p.LastName) Provider_Name,
# MAGIC   dd.Name Dept_Name,
# MAGIC   sum(ft.Amount)
# MAGIC from
# MAGIC   gold.fact_transactions ft
# MAGIC   left join gold.dim_provider p on p.ProviderID = ft.FK_ProviderID
# MAGIC   left join gold.dim_department dd on dd.Dept_Id = p.DeptID
# MAGIC group by
# MAGIC   all;

# COMMAND ----------

# MAGIC %sql
# MAGIC --Total Charge Amount per provider by department for each month for year 2024
# MAGIC select
# MAGIC   concat(p.firstname, ' ', p.LastName) Provider_Name,
# MAGIC   dd.Name Dept_Name,
# MAGIC   date_format(servicedate, 'yyyyMM') YYYYMM,
# MAGIC   sum(ft.Amount) Total_Charge_Amt,
# MAGIC   sum(ft.paidamount) Total_Paid_Amt
# MAGIC from
# MAGIC   gold.fact_transactions ft
# MAGIC   left join gold.dim_provider p on p.ProviderID = ft.FK_ProviderID
# MAGIC   left join gold.dim_department dd on dd.Dept_Id = p.DeptID
# MAGIC where
# MAGIC   year(ft.ServiceDate) = 2024
# MAGIC group by
# MAGIC   all
# MAGIC order by
# MAGIC   1,
# MAGIC   3
# MAGIC