Consolidating data using datamarts romola garai matthew goode dating

You have a couple of options - (1) Use database views to create "view marts"=2E Where it's possible, this is arguably your best option, because you don't create any redundant data structures that need to be stored, managed and maintained=2E You are limited with this approach, as Peter likes to remind us, to view structures that can be defined in the variant of SQL that your platform vendor supports, so if you want to create very complex marts with lots of slowly-changing dimensions and/or surrogate keys you may run out of steam with this approach (Peter and I differ as to how much of an issue this is and how quickly it becomes an issue but I don=92t propose to debate that here)=2E Importantly, you can prototype this approach in a couple of hours on your production or UAT system - all you need is a working knowledge of SQL and the right permissions=2E If it works for you, great=2E If it doesn't=2E=2E=2E (2) Use "materialized views" ("join indexes" in Teradata) to build application-specific data structures ("index marts"?!)=2E This approach involves creating redundant data structures and so there is a cost associated with it, but at least the redundant structures are maintained automatically by the DBMS=2E Like the use of database views, you are restricted to structures that can be expressed in SQL / the materialized view implementation, but you can now pre-calculate KPIs and create summaries and aggregations as required to improve the performance of routine and anticipated queries=2E (3) Build application-specific data structures on the same physical platform ("virtual marts") just the same as you would build them on a separate platform as physical marts=2E The advantage of this approach is that you can now create structures of any complexity without let or hindrance from SQL limitations (real or imagined); the disadvantage of this approach is that (a) you have redundant data and (b) you have to maintain the redundant data structures yourself, using some combination of SQL / UNIX / C / your favorite ETL tool, etc=2E But you still generally have lower TCO in this scenario (one platform to support and maintain instead of several, each with spare "headroom" capacity), cross-functional analysis should still be possible (providing you give the data design some consideration and don't build the virtual marts entirely independently), you still have only one platform to secure, etc=2E What does all of this mean for your technology platform?Data warehousing and marts address these challenges by unearthing the hidden value in information assets to facilitate informed decisions.At Adaequare, we help you to standardize your data warehousing process in order to align it with your business goals.Rory The "grunt" of the processors cover up a lot of what happens inside the TD Database, you know that very well...Rory" id="ctl00_m_m_i_ctl00_gr_ctl13_bestanswerbody" class="textarea-bestanswerhidden" name="bestanswerbody" answerbody Id="1003852" / No one here has even started to debate data modelling styles=2E The question that was asked was can Teradata be used to consolidate data marts (yes); can database views be used to mimic other schemas to facilitate application migration (it depends, but in many cases yes) and does Teradata support SOA (yes)=2E There are fair and accurate answers; I don't see how any of us can be more specific given the level of information provided by Baz77 in his original post=2E MW" id="ctl00_m_m_i_ctl00_gr_ctl15_bestanswerbody" class="textarea-bestanswerhidden" name="bestanswerbody" answerbody Id="1003853" / Peter, No one here has even started to debate data modelling styles=2E The question that was asked was can Teradata be used to consolidate data marts (yes); can database views be used to mimic other schemas to facilitate application migration (it depends, but in many cases yes) and does Teradata support SOA (yes)=2E There are fair and accurate answers; I don't see how any of us can be more specific given the level of information provided by Baz77 in his original post=2E MW alas, there is no truth to the idea that simply placing a set of views over a 3NF model to present it as a dimensional model buys you the same benefits as implementing a broad set of features of dimensional models. For example, the dimensional model has a cube viewer for data analysis.Many thanks Scenario (1) seems to be business-as-usual for you so I won't comment on it any further=2E Scenario (2) is associated with some opportunities and also some challenges=2E I'll try and deal with these generically and independent of your choice of platform technology before I pitch Teradata (!

consolidating data using datamarts-64consolidating data using datamarts-1consolidating data using datamarts-12

I want to find out that with the latter options, what are the pros and cons.I hope this helps and if you've got this far, thank you for your attention!MW" id="ctl00_m_m_i_ctl00_gr_ctl23_bestanswerbody" class="textarea-bestanswerhidden" name="bestanswerbody" answerbody Id="1004480" / OK=2E Scenario (1) seems to be business-as-usual for you so I won't comment on it any further=2E Scenario (2) is associated with some opportunities and also some challenges=2E I'll try and deal with these generically and independent of your choice of platform technology before I pitch Teradata (!If you are serious about TD then I suggest you get them to hook you up with some customers who use their technology.Doing this you will be about to also find out things like how good they are at partnering, what their support is like, how flexible their pricing is or isn't, and you may also be lucky enough to find some good "advisors" or consultants.

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