Hello,
I need the following scenario to be achieved in Direct query mode. I was able to achieve it in Data Import mode but in Direct Query I see that the transformations and DAX formulas are quite limited.
Scenario:
I have a table with data of two of more categories. The data of two categories is logged at different frequency of time. I need to create a report or visualization which displays the product of values of two categories based on the timestamp value. For the timestamps where the less frequent data doesn't have a value, the most recent value available should be used. Following is the sample of data and expected output:
| TimeStamp | Category | Cat_Value |
| 2017-03-19 07:00:00.000 | A | 10 |
| 2017-03-19 07:15:00.000 | A | 10.5 |
| 2017-03-19 07:30:00.000 | A | 10.3 |
| 2017-03-19 07:00:00.000 | B | 5.1 |
| 2017-03-19 07:05:00.000 | B | 5.3 |
| 2017-03-19 07:10:00.000 | B | 5.4 |
| 2017-03-19 07:15:00.000 | B | 5.2 |
| 2017-03-19 07:20:00.000 | B | 5.6 |
| 2017-03-19 07:25:00.000 | B | 5 |
| 2017-03-19 07:30:00.000 | B | 5.5 |
| Output Expected | |
| Product (A,B) | |
| 2017-03-19 07:00:00.000 | 5.1 * 10 |
| 2017-03-19 07:05:00.000 | 5.3 * 10 |
| 2017-03-19 07:10:00.000 | 5.4 * 10 |
| 2017-03-19 07:15:00.000 | 5.2 * 10.5 |
| 2017-03-19 07:20:00.000 | 5.6 * 10.5 |
| 2017-03-19 07:25:00.000 | 5 * 10.5 |
| 2017-03-19 07:30:00.000 | 5.5 * 10.3 |
Please suggest on how it can be done.
Thanks,
Vaishali