I'm experimenting with the dashboard functionality of Cognos Analytics. However, I do not know how to make a connection between the source of the data (the application) and Cognos, so that the data refreshes automatically. Also, I'm not able to find any decent documentation on this topic. Can anybody describe this procedure?
Thanks in advance!
If you are using a package or data module source the data will refresh if the refresh timer is set and the cache is disabled.
The following link explains this in more detail:
https://barrachd.co.uk/insights/blog/cognos-analytics-r11-latest-release/
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I have around 30000 sheets of excel with standardized report.
The goal is to provide online dashboard to view the data.
My first thought as programmer is to create a database and find a way to import the data and then build front end on the top to create a customized dashboard.
Any easier way to do this?
If your reports are always going to be in excel, I don't think it would be a good approach to convert them to a database. It will only add an overhead of converting the data and creating the frontend for it, that would be an overengineering.
Instead what you can do is you can use data visualization tools like retool which already offer visualization components on top of any source data. The source can be anything be it an excel sheet or a database.
There are other alternatives as well like redash which also offers connections to CSV files.
However, if you still feel that creating a database like MySQL or any other database of your choice is a better approach to go. Then you should consider using Metabase or superset. These are excellent tools for data visualization and only require the database credentials to connect to the DB. These are feature-rich, accepted within the industry and you can create possibly all the visualizations as per your need.
Also, the best part is all the tools that I have mentioned here are totally open source or have a nice trial period.
FYI, For a better and more effective solution, I would recommend running a SQL Server on your machine and uploading the excel report to the SQL server and then connecting the SQL server instance to the Metabase, That would do everything that you need and you don't have to spend time to write any code to manage all these stuff. Below is a glimpse of a Metabase Visualisation Dashboard:
I have a Power BI dashboard which has direct queries to an Oracle database, where I import data using SQL queries. On my local pbix file everything is fine. When I publish it to my enterprise powerbi.com site and want to refresh the data, I get the following error:
{"error":{"code":"DM_GWPipeline_Gateway_ProviderDataAccessArgumentError","pbi.error":
{"code":"DM_GWPipeline_Gateway_ProviderDataAccessArgumentError","parameters":{},"details":
[{"code":"DM_ErrorDetailNameCode_UnderlyingErrorMessage","detail":{"type":1,"value":"Unable to
find the requested .Net Framework Data Provider. It may not be installed."}},
{"code":"DM_ErrorDetailNameCode_UnderlyingHResult","detail":
{"type":1,"value":"-2147024809"}}],"exceptionCulprit":1}}}
Does anyone have any idea what could be causing the issue?
I have trawled through the Power BI forums and there does not seem to be a definitive remedy.
I don't have such an issue using Tibco Spotfire, however we are being pushed to use Power BI.
I found a work around. It seems that after you create the Views in Oracle, in PowerBI, you should rather import (as selected below) than make a direct query. Just click the import option and find your table with the view you create in the following options.
I still see the same error if I want to manually fresh the data on the PowerBI app, but I can at least now see my dashboard working, with the tables and graphics fully visible.
In one of the use cases in my application there is a requirement to publish neo4j transaction data to oracle database in real time. I did google on it, but couldn't find a tool or plug-in which can help. Everywhere on internet talks about rdbms to neo4j sync. So I am planning to do this by manually invoking jdbc commands.
Can you please suggest something?
Had to write my own jdbc code.
Dears,
I am making simple web page using Bottle library in Python. And started struggling when i want to connect to Oracle DB and extract data from table for visualization. I see that Bottle has only Sqlite.db connections. Is it possible to connect to Oracle db with integrated Bottle library functionality? Or should i call cx_Oracle each time when a web page link is pressed to get data from database?
This might work for you? https://github.com/bormotov/bottle-oracle. I haven't used it myself but the code in it is simple enough you can develop your own if need be! Hope that helps, anyway.
I'm trying to move snapshots of data from our MongoDB into our Oracle BI data store.
From the BI team I've been asked to make the data available for ODI, but I haven't been able to find an example of that being done.
Is it possible and what do I need to implement it?
If there is a more generic way of getting MongoDB data into Oracle then I'm happy to propose that as well.
Versions
MongoDB: 2.0.1
ODI: 11.1.1.5
Oracle: 11.2g
Edit:
This is something that will be queried once a day, maybe twice but at this stage the BI report granularity is daily
In ODI, under the Topology tab and Physical Architecture sub-tab, you can see all technologies that are supported out of the box. MongoDB is not one of them. There are also no Knowledge Modules available for importing/exporting from/to MongoDB.
ODI supports implementing your own technologies and your own Knowledge Modules.
This manual will get you started with developing your won Knowledge module, and in one of the other manuals i'm sure you can find an explanation on how to implement your own technologies. (Ctrl-F for "Data integrator")
If you're lucky, you might find someone else who has already implemented it. Your best places to look would be The Oracle Technology Network Forum, or a forum related to MongoDB.
Instead of creating a direct link, you could also take an easier workaround. Export the data from the MongoDB to a format that ODI supports, and MongoDB can extract to. CSV or XML maybe? Then load the data trough ODI into the oracle database. I think... that will be the best option, unless you have to do this frequently...
Look at the blog post below for an option;
https://blogs.oracle.com/dataintegration/entry/odi_mongodb_and_a_java
Cheers
David