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Hi,
I need to create a presentation regarding Qliksense handling huge volume of data.
Like for example, I knew few of them as shown below
Achiectecture tiers 1, 2, 3 & 4 --> information and where we can exactly use each of them..
Incremental load, to handle huge data set and some of the description of it.
ODAG - & it's description and it's limitations.
If there are any other such options for handling huge dataset, any power point or links or any of the other ways to handle huge dataset
& the performance shouldn't be degraded
Performance tuning links...! or ways to handle the datasets it would be helpful.
Security
Can anyone please help me on this I need to prepare presentation or any inhand PPT or PDF's we have?
If the dataset is really huge - in regard to the available hardware and/or to the intended views respectively to the complexity of the data-structure and/or to the usage (number of concurrent users and expected/accepted response times) - you will always need individual solutions especially to detect and to address the biggest bottleneck within the environment.
Just listing best practice approaches isn't very helpful without a deeper understanding what each means and when/where/why it should be how applied which IMO couldn't be adequate showed with a PPT but would be possible with a classical seeing-is-believing workshop from Qlik or a partner.