Hello Ashish,
Months ago, I performed a very basic load of data on MM - MongoDB connector
and this was the result:
*query with group by*:
*dataContext.query().from(getCollectionName()).select("id").and("name").where("foo").isEquals("bar").groupBy("name")
.execute();*
a) 5.000.000 records:
Thank you, Kasper. That's a good insight. Couple of further questions -
1. Any idea of the size of the largest data-sets?
2. Are the deployments all on Cloud or on-premise too?
Regards,
Ashish
On Mon, Jun 8, 2015 at 12:48 PM, Kasper Sørensen <
i.am.kasper.soren...@gmail.com> wrote:
> Hi Ashish,
Hi Ashish,
I'm working for Stratio, one of the companies that is using Apache MM for a
production application: Datavis. Our application allows the users to build
dashboards to expose the real value of their data fetching it from a wide
range of data stores and using awesome widgets to show the dat
Hi Ashish,
A bit of information from our side - I represent Human Inference, a data
quality company owned by Neopost. MetaModel was originally founded in our
R&D labs :-)
We use MetaModel in a bunch of applications, primarily:
DataCleaner - www.datacleaner.org - an open source data quality soluti
Hello,
I am aware couple of companies are using MM for their production
applications, ,as stated on this list.
For a better understanding of the trends in terms of its use and scale of
operation, I was wondering what are the connectors which people are using
most and what are the typical data siz
