Hello @Amit110409 ,
Databricks has announced the free edition version of Databricks. It contains much more capabilities than the community edition.
Regarding DBFS, there is no official update on enabling full access in the Free Edition. Also, DBFS is now considered a legacy approach, so you should use Unity Catalog Volumes for storing and accessing data going forward and also it is recommended approach.
Example upload to UC Volume:
1. Go to the catalog you wanna have the data in, and click create Volume:

2. Give it a name and click create:

3. Then use the "Upload to this volume" button to upload the data:

4. Here it is an example how to read a csv file from Volume:
df = spark.read.csv("/Volumes/main/finance/reports/monthly/may2025.csv", header=True, inferSchema=True)
df.show()
Hope that helps. Best, Ilir