Not great at programming so not all that confident of being able to pull data from the Google API.
Basically what I'm trying to do is pull everything from Google Analytics, all data and dump it into a table on a SQL Server (2008 R2). What would be the best way of achieving this?
Would like to automate the process so that it could be scheduled say once a month.
Cheers
There an existing add-on specifically for accessing Google Analytics.
Haven't used it but from what I read seems like it will exactly what you are looking for
http://www.google.com/analytics/apps/about?app_id=1325007
There is a specific SSIS DataSource Component for that – https://analyticssource.codeplex.com
It is open source and free.
Related
Good morning! I've found TONS of articles, questions, and guides on how to import data from local excel documents to Azure SQL databases, or how to pull from an Azure database to Excel, but nothing about how I could use SQL to query an excel online document (which would be hosted on SharePoint).
I'm fairly new in my learning - I'd be setting this up via a query in SQL written/executed via Azure Data Studio. The excel file is one that I'd be creating, and hosting via our company's SharePoint system. The Azure SQL database will also be one that I'm constructing myself, which is in progress. I've tried to find walkthroughs, scripts, explanations, something. But it's totally silent. Granted, that could be an indicator that it can't be done, but I figured I'd ask here. Overall, I'm just trying to figure out what is possible, so I can come up with a decent range of simple, easy-to-use means of data input for my team, or, in this case, to capture some of the ways they're tracking their work.
Not sure if this is sufficient detail, please feel free to ask any follow-up questions.
Azure Data Studio is a tool to work with SQL databases, most notably MS SQL. Though you can connect to some other types as well.
Therefore, in order to use Data Studio to query your data, it needs to be in a SQL database. To accomplish that, you need to setup a process to load the data from your Excel document into a table in you database and run that process on a regular basis to update the table. You could look into Azure Data Factory to do that, though I don't see why you should bother to do that just to use Azure Data Studio, when you can browse the data in Excel, use PowerBI, Qlik or any other tool that can connect directly to Excel.
In Azure Elastic Jobs (preview) I am trying to find a way to send an email from within T_SQL in one of the job steps as msdb.dbo.sp_send_dbmail is not available in elastic Jobs. I have done some research and it appears there is no native support that i can find for achieving this and the only suggestion I have found so far is saving the jobs output to a table and then using something else (like PowerShell) to send the actual email.
Here is a link to an article explaining one way of achieving this and another here link.
Has anyone found a better solution to this?
Azure SQL database doesn't support msdb.dbo.sp_send_dbmail. That's why we must use other tools like PowerShell or logic app. Just for now, these are the solutions we can find and there isn't a better solution for now.
If you want use this feature, may you can choose Azure SQL managed instance or SQL Server in VMs.
HTH.
We have a multi-tenant, single db application where some customers have expressed the desire to get direct access to their own data.
I have been suggested looking into Azure Data Sync to achieve a setup where each of the customers get their own Azure SQL instance to which we setup a one-way synchronization of their data from the master database.
I managed to find some documentation on this, but one I got around to try it out in a lab setup, it looks like the ability to filter rows in the sync job has been removed in a later iteration of the Azure Data Sync service.
Am I wrong or is that feature really gone? If so, what would be your suggestions to achieve something similar on Azure?
You cannot filter rows using Azure SQL Data Sync. However, you can build a custom solution based on Sync Framework as explained here.
I'm looking for some help designing a better summary report. Right now we publish and send everything (execution% by modules, defects etc) in an excel and I was hoping if we could use that excel data to generate a live dashboard that would be accessible by a URL.
To add, the execution data comes from QTest and defects from JIRA. At this point we are even ok with filling data in excel manually and using that as a source for any reporting tool.
If a free tool is available, even more better.
Any leads, helps, feedback is appreciated.
Thanks,
MD
Sounds like you need Microsoft's Power BI. We've done a lot of reporting from JIRA using this free tool (Desktop). If you need to share it with others "real time", you'll prefer the online experience for about $10/user/month. But if you're looking to stay "free", you can simply share the Power BI file with your stakeholders.
I recommend AGAINST using the already built in JIRA APP. It seems to want to pull back all your issues. Instead, use a REST API Call like this:
https://domain/rest/api/2/search?jql=filter=22605&fields=id,key,summary,description
If you get more issues back than your Issue Search is configured for, the pagination can be a little tricky. Also multiple values in a custom field need special handling.
Or if you're on premise and know your JIRA DB, direct SQL is an efficient way to go.
We use both mechanisms... (REST and SQL). SQL let us add logic in the view of the data that JIRA itself doesn't report on easily. (Parent-Child-subchild relationships and roll up of effort, story points, etc)
The best part of the Power BI solution is you should be able to integrate the data from JIRA and your test tool. (We pull from JIRA and our time tracking system).
I am new to databases, and have some data stored as entities in Google Cloud Datastore. I would like to be able to analyze and plot this data in a web interface, and it seems like Google Data Studio provides an easy-to-use way to do this. However, I'm a bit confused as to how I can actually use the two interfaces together; it seems like either Google Cloud Storage or Google BigQuery could be a middleman in between, but I'm not sure how this might work. Could anyone advise on whether using Google Data Studio would be the best approach to plotting/analyzing data in Google Cloud Datastore, and if so, offer tips on how I could go about this? There are a large number of tutorials but it seems like none that I've found have explained how to load data from the Datastore into a useable file for Data Studio.
Thanks!
As Graham Polley says, the question is answered here. The workaround to connect Cloud Datastore to Google Data Studio is to first export Datastore entities to BigQuery, as explained in this guide.
Then see this in order to connect Data Studio to BigQuery tables.
Finally in this blog post, there's a tutorial for building a dashboard with Google Data Studio and BigQuery.