# Read from SQL table

df = spark.read.table("your_database.source_table")

# Transform: filter age > 25

df_filtered = df.filter(df.age > 25).select("name", "age")

# Write to new SQL table

df_filtered.write.mode("overwrite").saveAsTable("your_database.filtered_table")