Hi @Krishna2110 ,
It's bit unclear to me what is your problem. If you don't use any filter then all data will be read in data frame, as in below.
df = spark.read.delta('my_table')
There is however limitation on number of rows that will be displayed in UI, so maybe you're thinking that not entire data were read?
Or maybe you are asking about situation, where you have set of different tables with the same schema and you would like to query those? Then you can iterate on tables, read each and union results