Achieving faster recovery times with data warehouse appliance
If you are considering getting a data warehouse appliance
then you must ensure that you’d be able to achieve faster recovery times with
the help of the appliance. For this, you may have to find out whether or not
the appliance makes use of change-tracking restoration algorithms. Just so you
know unless the aforesaid algorithms are there, achieving faster recovery times
may continue to be a nightmare. Interestingly, if the appliance is good enough
then it won’t only help you with the recovery times but may also deliver
enhanced query performance. However, this will happen only if the appliance has
been designed to maximize parallel processing performance.
Of course, for enhanced query performance, even the network
efficiency should be maximized by the appliance. Meanwhile, it is worth
mentioning that if the data warehouse appliance is based on the MPP
architecture then you’d be able to take advantage of the appliance without any
difficulty. This is because if MPP architecture is there then you can expect the
appliance to efficiently use the commodity hardware resources. Furthermore, if
your appliance has a network-optimized MPP architecture then you should be all
geared up for maximum system performance. However, if the appliance has an MPP architecture even then it may not help you the way you’d expect it to.
This may happen if the appliance lacks some of the key
features such as efficient parallel loading. However, it is also imperative for
you to ensure that if efficient parallel loading is there then it does not mean
that there should be some interruption as far as the queries are concerned. In
fact, the appliance should be designed in such a way that the queries can
continue uninterrupted. For this, you’d have to ensure that there is some
provision for workload isolation. Otherwise, when loading takes place, there
may be some interruption in terms of the queries.
Nevertheless, if the appliance has all of the aforesaid
features then it may be complex to use and may not get deployed with ease. The
good news is that you can always look for a plug and play appliance to take the
complexity out of deployment. Furthermore, if you look for a plug and play
appliance then you may be able to integrate it with your existing IT systems
without any difficulty. Last but not least, the appliance should work well with
all of your existing BI tools and IT components including
the Hadoop APIs.
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