dhis2-users team mailing list archive

["Wilson, Randy" <rwilson@xxxxxxx>]

One of the interesting ideas from Uwe's approach is that DHS has apparently
standardized definitions for all indicators - presumably there is a code
that we can use in DHIS-2 so that interoperability will be simplified.  Uwe
might want to extend the data element attributes to capture more of the
metadata that is available in DHS to define the indicators.  Also, I wonder
if you plan to bring in the raw data (numerators & denominators) as data
elements and build the calculations into DHIS-2, or bring in the calculated
indicator values as data elements.

One of the challenges that we face in our Data Warehouse is that it
contains indicators calculated based on both routine and population survey
data.  We have to be very careful of the indicator names so that people
know which come from which source.  For example:  from DHS we have
"Contraceptive prevalence rate - modern methods" while we estimate that
from the routine HMIS data but call it "Contraceptive utilisation rate from
health facilities - modern methods".

Randy



On Tue, Feb 2, 2016 at 4:13 PM, Olav Poppe <olav.poppe@xxxxxx> wrote:

> Hi Randy and Uwe,
> thanks, interesting to hear you experiences. Uwe, what you are working on
> sounds quite a bit more complicated, and not least with far more data. I
> image that with household surveys, it would be a matter of < 100 indicators
> for < 200 orgunits for 2-3 periods, i.e. a fraction of what you are dealing
> with!
>
> Olav
>
>
>
>
>
>
> 31. jan. 2016 kl. 09.29 skrev uwe wahser <uwe@xxxxxxxxx>:
>
> Hi Olav & Randy,
>
> I am currently banging on kettle (aka Pentaho DI) to extract data from a
> source-system (SQL-ERP in our case) into DHIS2 dataSets in json format. In
> our current test-scenario (2 dataElements in a dataSet with a
> categoryCombination of 5 categories) we are currently updating ca. 4 mio
> dataValues every night in a pseudo-delta mode (reading all data from
> source, comparing to what is there in DHIS2 already, then only pushing
> records for creating, updating or deleting dataValues into the api: ca.
> 150k per night in 1 hour, initial load was 7hrs). We still have to prove,
> that this is feasible when setting up the first real life dataSet where
> there will be more categories and more dataElements, thus exploding the
> number of dataValues.
>
> Getting there was a bit painful, but now it seems to work. I chose kettle
> instead of Talend ETL (both open source) as it seemed to be easier to get
> used to. However, from a data warehouse perspective I'd prefer to have
> DHIS2 offering some sort of an integrated ETL landscape on the long run,
> which would also allow to aggregate data from tracker into dataSets,
> tracker to tracker, dataSets to dataSets etc.
>
> Our current version of the kettle transformations and jobs were designed
> to be generic (not for a specific dataSet, but you have to design your own
> extractor which could be a simple csv-reader or maybe a DHS api-call). If
> you are interested, I will share them. Just be aware that they are
> currently in a very early and rough state and not documented. You'd have to
> bring along the willingness to dig yourself into kettle and be pain
> resistant to a certain degree :-)
>
> I'd be interested to hear from other experiences ...
>
> Have a nice sunday,
>
> Uwe
>
> ---
>
> Am 29.01.2016 um 17:31 schrieb Wilson, Randy:
>
> Not here unfortunately...just doing csv imports from DHS Excel files.
> Would be useful for our data warehouse.
> Randy
> On Jan 29, 2016 2:59 PM, "Olav Poppe" <olav.poppe@xxxxxx> wrote:
>
>> Hi all,
>> I wanted to hear if anyone has any experience with the DHS API (
>> http://api.dhsprogram.com/#/index.html), and using it to import survey
>> results into DHIS?
>>
>> Olav
>>
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-- 
*Randy Wilson*
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