We used to have Customer/Developer feedback pages where people used to submit product improvement ideas and could see what was the product roadmap in terms of enhancements being built.
However with the revamp of the system - those links are stale now.
Been trying for a while to access the new pages. Could someone please help get the page for ADF, Synapse etc. ?
(UDPDATE: 10/20/2021) Azure Feedback forum is now live:
https://feedback.azure.com/d365community
Azure services is no longer uses UserVoice to collect feature ideas and suggestions. Our new, improved system will be available later this year. Until the new system is available, use the Azure Services specific forum on Microsoft Q&A platform.
Example: A feedback provided using MS Q&A platform: IDEA: Notebook-scoped Python libraries and Search Engine for the libraries (indexing at leat PyPI and Maven Central)
Azure is working on a new Self-Serve option for customers to share and vote on product feedback. When available, you will be able to go to https://feedback.azure.com/ and share/up-vote product feature ideas.
For more details, refer to How to send ideas and suggestions to the Synapse team.
Related
As I would like to see my team information in one place on the Dashboard, is there a way to see the same Progress Report (Test Plans > Progress Report) on an ADO Dashboard. There are widgets, but I can't seem to find one to give the same information. I have organized my Test Suites Sprint Wise, and the progress reports provide the information I need.
According to your description, I checked this problem further. For this requirement, it is not supported at the moment.
We recommend that you could submit a suggestion ticket to suggest the feature on:https://developercommunity.visualstudio.com/content/idea/post.html?space=21.
Thank you for helping us build a better Azure DevOps.
I wish to try the Google Bigquery Data QnA feature. But, I am unable to find any documentation about how to Enable the Data QnA feature
with ref. to https://medium.com/daas-labs/trying-out-data-qna-on-bigquery-and-google-sheets-e47939fddf25
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The QnA on BigQuery is currently in Alpha stage. I recommend to keep an eye on the BigQuery release notes.
If you are in the alpha program, you can enable it from
https://console.cloud.google.com/apis/library
You can use http://g.co/cloud/data-qna to express your interest in trying out Data QnA feature.
Please note as specified in the form's description:
Note that while we aim to admit additional customers, filling out this form does not guarantee access.
I'm a Googler working on the Data QnA feature, and I'm happy, excited and proud to learn that there is growing interest amongst the BigQuery community to try this out. :)
Can anyone please help me understand what components/services does Azure Synapse Analytics include?
From what I have read from both Microsoft website and other reviews, it says it is the new SQL Data Warehouse, however, it also says it brings together all these : data ingestion (like azure data factory), data warehouse, and big data analytics (like data lake)?
So what components exactly does a Azure Synapse Analytics include when you purchase it?
Thanks.
Azure Synapse Analytics service currently (as of 6th May 2020) refers to Azure SQL Data Warehouse, more specifically to "gen2" version of it. Microsoft released in November 2019 in Ignite'19 event the new name "Azure Synapse Analytics" and upcoming features for the service. The new features are currently available only in private preview, but I would assume they will be released in public preview soon. Access to new users to private preview is already closed, even though some Microsoft material still hints that you could apply to it.
You can already find information about the new features in documentation and other materil. The confusing part is that you cannot find them in portal yet if you are not part of the private preview. This makes it really hard for new users currently understand what really is available and what is not.
Good start to information on situation and features of both versions this can be found here:
Blog post Azure SQL Data Warehouse is now Azure Synapse Analytics
SQL DW documentation
Synapse new features documentation
Microsoft has made the release of this update very confusing. I assume they wanted to communicate early in Ignite'19 that they will have a competitive offering coming. Compared to some other cloud native data warehousing solutions the old version of Azure DW clearly were behind in many areas, e.g. in flexible scalability. The new Synapse Analytics capabilities look good and can bring Microsoft back to lead in this area.
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.