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A company generates 1 GB of ticketing data daily.

A company generates 1 GB of ticketing data daily.The data is stored in multiple tables Business users need to see trends oftickets processed for the past.2 years Users very rarely access the transaction-level data for a specific date.Only the past 2 years of data must be loaded which is 720 GB of data

Which method should a data architect use to meet these requirements?

A.

Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data

B.

Load only aggregated data for 2 years and apply filters on a sheet for transaction data

C.

Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

D.

Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

Qlik QSDA2021 Summary

  • Vendor: Qlik
  • Product: QSDA2021
  • Update on: Jul 31, 2025
  • Questions: 50
Price: $52.5  $149.99
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