All,

I almost jumped over this thread from the beginning because I wasn’t 
understanding the original question very well, mostly based on my own labels 
for these types of services/datasets.  I reference things like this as 
“derived” data.  The actual source data doesn’t exist (unless it gets cached 
for performance reasons) but rather it a data blending via a SQL call.

I agree with other comments here too, related to this type of product usually 
being the sort of thing that can’t be easily done by most GIS apps out of the 
box.  Also provides for a pipelining of processes of sorts for sudo processing 
on the fly.

I’ve got a few different examples of this, some fairly simple, some very 
complicated that are treated as datasets by the end users, because the SQL is 
embed into a config, like a Mapserver Mapfile for example.  More and more of 
our datasets are being created in this fashion vs historically sourcing a 
“real” dataset directly.

In general the end users are starting to think and expect this type of analysis 
approach to the data, especially related to time indexing and looking at data 
over time.  Consequently, this is pushing me (us) to start thinking about time 
indexing of data and how to store datasets accordingly.

Bobb



From: postgis-users <postgis-users-boun...@lists.osgeo.org> on behalf of 
Shaozhong SHI <shishaozh...@gmail.com>
Reply-To: PostGIS Discussion <postgis-users@lists.osgeo.org>
Date: Friday, September 25, 2020 at 3:11 AM
To: PostGIS Discussion <postgis-users@lists.osgeo.org>
Subject: Re: [postgis-users] Promoting PostgreSQL and PostGIS to wider business 
intelligence community

Think Before You Click: This email originated outside our organization.

All very interesting and useful points!

I am also thinking about data blending and new data production on the data 
service platform for supporting the wider Business Intelligence community.

Surely, we need excellent examples to show them that we make data ready for 
their consumption, and are here to help them.

Regards,

Shao

On Fri, 25 Sep 2020 at 08:37, Andreas Neumann 
<a.neum...@carto.net<mailto:a.neum...@carto.net>> wrote:

Hi,

In our GIS team (small team of 10, local government, province level) we use a 
lot of SQL in collaboration with Gradle/GRETL and Jenkins for our automated 
data flows and statistics. It is amazing how much analysis and data aggregation 
you can do with SQL only - without having to touch QGIS or ArcGIS or any other 
so called "business intelligence" tools (that are often quite expensive).

Every new employee that wants to join our team has to have SQL knowledge - 
that's a prerequisite - or they wouldn't get the job. Most of our employees are 
not programmers though.

I also teach PostgreSQL/Postgis training courses (2-3 days usually) - a lot of 
the participants are not programmers but still manage to do analysis with SQL. 
Typical course participants are scientists, people working at engineering 
companies or government.

So - I do think there is a significant number of people who use SQL, but aren't 
programmers.

Andreas

On 2020-09-25 00:09, ruve...@beamerbrooks.com<mailto:ruve...@beamerbrooks.com> 
wrote:
I doubt whether PostGIS has any direct value whatsoever for desktop application 
users.  At a very minimum,  using PostGIS directly requires a  knowledge of 
SQL.  In fact, the more knowledge of SQL a user has, the more powerful PostGIS 
will be.   SQL is usually taught in a database course which, in many computer 
science curriculums, is taught in the second or third year, not to end users in 
another occupation.

Business intelligence systems such as Power BI and Tableau can connect directly 
to PostGIS data bases and provide end user commands and operations for querying 
and modifying those databases.  GIS systems such as ArcGIS and QGIS provide 
similar capabilities.   End users can get nearly all of the power of PostGIS 
without having to learn anything outside of the business intelligence system or 
the GIS system.

PostGIS is probably best reserved for people who have a programming background 
and whose jobs or avocations involve doing things that are difficult or 
impossible to do in existing business intelligence or GIS applications.  There 
seem to be more than enough people like that to keep the PostGIS developers 
quite busy.

Ruven Brooks







On 9/24/2020 3:58 PM, Shaozhong SHI wrote:
Though we have got some good examples of serving data to wider business 
intelligence community, we are still interested in finding excellent, 
compelling examples for showing the value of PostgreSQL/PostGIS as a data 
service to desktop application users.

I just wonder whether there are excellent examples, for general users to 
appreciate?



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