Hi,
I am getting data from a dataflow for my dataset. The dataflow that I receive data is huge, millions of records. It really slows down my report if I get it all. I wonder if it is possible to compute the dataflow and get the computed entity for my report.
For example; this is an example for the dataflow:
| Count | Date | type | value |
| a1 | 01.2019 | s | 1 |
| a2 | 01.2019 | m | 2 |
| a3 | 01.2019 | a | 1 |
| q1 | 01.2019 | s | 2 |
| q2 | 01.2019 | a | 1 |
| q3 | 01.2019 | m | 2 |
| w1 | 01.2019 | a | 1 |
| w2 | 01.2019 | a | 2 |
| w3 | 01.2019 | m | 2 |
| e1 | 01.2019 | a | 1 |
| e3 | 01.2019 | m | 2 |
| e4 | 01.2019 | a | 1 |
| e5 | 01.2019 | a | 2 |
| w4 | 01.2019 | m | 1 |
| w5 | 01.2019 | m | 3 |
I want to make a computed entity from this data and use it as a dataflow for my report. It should show:
| Date | type | value | count |
| 01.2019 | s | 3 | 15 |
| 01.2019 | m | 12 | 15 |
| 01.2019 | a | 9 | 15 |
In order to decrease the data size, I want to do it in this way:
Date: I should be able to selected the data for last 18 months.
Type: total of values for eah type category.
Value: total of values in that category
count: count of the count column at the previous table.
Is it possible to do it?
Thanks in advance!