Help needed/Tricks to handle huge data in power bi

[Heena_9980400]

Hi Experts,

Since I am dealing with 10 years of historical data(2011 to till date), and there is no logic, Dax and RLS used. There is a huge data, and to handle the data does composite mode will help in any way? Please respond to this and do the needful.

Best Regards,

K

[Anonymous · Accepted solution]

Hi,

Some things you can do:

• User Large datasets format in Power bi
  • (This is a premium feature, but can improve the performance)
• Only bring the columns that you will need
• Normalize your model
• Negotiate with dataset users a reasonable time window of data:
  • If the users just want to consume the most recent data, you can, for instance, load just the last year of data dynamicly
• Pre-agregate the data:
  • Depending on your source, and the visuals you want to dysplay, you can create agregated tables in your source and just load the agregated values to power bi; For insntance if you have a facts table with 100 rows per day, and you have only a barchart displaying the monthly values, you can agregate the values by month in the source, and this way you will massively reduce the amount of data

Composite modeling can also help you, if your visuals show just fractions of the data. If you have to load them all, you will strugle as same as with import mode only.

You can try this ideas individualy or combine them all for better performance

Kind regards,
José
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