What is the best data plan overall. I can't decide how many GB of data to get...

I can't decide how many GB of data to get...

You can change the data plan on a monthly basis.  So as a start, choose one of the smaller amounts, use it for a month or two.  Then look at your account and see how much data you are using on a regular basis.  If you use a lot of data and need a bigger plan, choose that for next month.  However, if you use less data, move to a smaller plan.  I did this, and since I'm on WiFi most of the time at home and at work, I migrated to the smallest 3G data plan.

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    Donna Kelly

    Dear All,
    My original question was: 
    what's the optimum way of exposing data to the Power BI cloud?
    Having spent the last month faffing about with Power BI – and reading about many people’s experiences using it – I think I can offer a few preliminary conclusions.
    Before I do that, though, let me summarise a few points:
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    the data modeling piece . . . I think we should try to expose the data in a way that'll help usability . . . which wouldn't be a wide, flat table ”.
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    how to combine pre-built elements”
    I had commented “. . . end users and data modelling don't mix . . . self-service so
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    On the subject of self-service, the Redwing view says:  Although many vendors want tot sell self-service reporting tools to the enterprise, the facts of the matter are these:
    v
    80%+ of all enterprise reporting requirement is satisfied by corporate BI . . . if it’s done right.
    v Very few staff members have the time, skills, or inclination to learn and employ self-service business intelligence in the course of their activities.
    I cannot just expose raw data and tell everyone to get on with it.  That way lies madness!
    I think that clean and well-structured data is a prerequisite for delivering business intelligence. 
    Assuming that data is properly integrated, historically accurate and non-volatile as well, then I've just described
    a data warehouse, which is the physical expression of the dimensional model.
    Therefore, exposing the presentation layer of the data warehouse is – in my opinion – the appropriate interface for self-service business intelligence.
    Of course, we can choose to expose perspectives as well, which is functionally identical to building and exposing subject data marts.
    That way, all calculations, KPIs, definitions, and even field names, and all consistent because they all come from the single source of the truth, and not from spreadmart hell.
    So my conclusion is that exposing the presentation layer of the properly modelled data warehouse is – in general - the way to expose data for self-service.
    That’s fine for the general case, but what about Power BI?  Well, it’s important to distinguish between new capabilities in Excel, and the ones in Office 365.
    I think that to all intents and purposes, we’re talking about exposing data through the Data Management Gateway and reading it via Power Query.
    The question boils down to what data structures should go down that pipe. 
    According to
    Create a Data Source and Enable OData Feed in Power BI Admin Center, the possibilities are tables and views.  I guess I could have repeating data in there, so it could be a flattened structure of the kind Melissa doesn’t like (and neither do I). 
    I could expose all the dims and all the facts . . . but that would mean essentially re-building the DW in the PowerPivot DM, and that would be just plain stoopid.  I mean, not a toy system, but a real one with scores of facts and maybe hundreds of dimensions?
    Fact is, I cannot for the life of me see what advantages DMG/PQ
    has over just telling corporate users to go directly to the Cube Perspective they want, that has already all the right calcs, KPIs, security, analytics, field names . . . and most importantly, is already modelled correctly!
    If I’m a real Power User, then I can use PQ on my desktop to pull mashup data from the world, along with all my on-prem data through my exposed Cube presentation layer, and PowerPivot the
    heck out of that to produce all the reporting I’d ever want.  It'd be a zillion times faster reading the data directly from the Cube instead of via the DMG, as well (I think Power BI performance sucks, actually).
    Of course, your enterprise might not
    have a DW, just a heterogeneous mass of dirty unstructured data.  If that’s the case,
    choosing Power BI data structures is the least of your problems!  :-)
    Cheers, Donna
    Donna Kelly

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