Can you publish PowerBI Reports to SSRS 2014? - powerbi

We need to be able to publish PowerBI reports locally (versus publishing to the PowerBI service/website). We're running SQL Server 2014, because we do not feel SQL Server 2016 is mature enough to use yet (maybe in a year or two).
What options do we have for publishing PowerBI reports to some local resource (e.g. SSRS, a static web page, etc.)? Can we publish to SSRS 2014 (in SQL Server 2014)?

You can publish to an on-premises Pyramid Analytic server.
Microsoft collaborated with Pyramid Analytics to develop the Power BI
Desktop. Pyramid Analytics’ on-premise server-based technology
complements Microsoft SQL Server Analysis Services, leveraging all the
features of the Microsoft BI stack. You can now publish a Power BI
Desktop file to Pyramid Analytics Server, and more features will be
added over the next few months to enable seamless integration. We’re
excited to collaborate in accelerating the delivery of innovative BI
features that customers want and need most.
Source.

Currently, only technical preview of SSRS 2016 vNext supports PowerBI integration. SSRS Blog
One option to run it locally today is to manually distribute PBIX files, and view them in PowerBI desktop.
Or you can run that technical preview, of course. You could set up a separate instance solely for PowerBI reports, and carry on using 2014 for everything else.

Related

Automated flow of power bi reports from power bi service to sharepoint or onedrive

I Want to have an environment where whenever a power-bi report (in .pbix format) is created or updated in a workspace in my power bi service, it will automatically be reflected in my sharepoint without any manual effort so that I can manage different versions of a report on organization level. Is there a way to achieve this automated connection between power bi service and sharepoint?
Tried to use sharepoint web-embedded option for pages but I guess it is not an option to make the connection automatic and requires multiple layers of manual effort for each page.

Move from cloud to on-premise Power BI

I have created a dashboard on Power BI desktop, without realising that there is second version of Power BI RS for creating dashboards for an on-premise Power BI server. I have failed to upload my dashboard either as a .PBIX nor as a template .PBIT to our on-premise Power BI server. Is there any way to convert/import/migrate my work (nearly 20 hours effort) into the on-premise Power BI server without having to re-create everything again?
All this was much easier in Qliksense cloud/on-prem!
The only method I am aware of to have the same report in both the PowerBI.com service and in Report Server PBIRS would be to re-build the report you created for the PowerBI.com service using "Power BI Desktop for Report Server" and have two versions.
You cannot use the PowerBI.com cloud version of Desktop to publish to PBIRS Report Server since they are different products on different versions. The PowerBI.com cloud version has features that are not available in PBIRS Report Server.

Am I forced to use Power BI Desktop to provide datasets to Power BI Service other than local or sharepoint files?

I'v been assigned the task to research Power BI Service platform to see if it is useful for the company I'm working at. I have a Power BI Pro license and basically my goal is to create several reports and dashboards from disparate data sources such as REST APIs, mongodb, SQL Server, csv and excel files.
I would like to create the mentioned datasets directly from the Power BI service website but I see that I only can create datasets from csv or excel files. And if I select SQL Server, it asks me to download Power BI Desktop client. The other type of data sources that I need are not even mentioned.
My question is if Power BI Desktop is required to develop and configure datasets for the Power BI service, because to begin with it is a windows only application.
Yes you are. The desktop version provides the full power of the software. You can learn a TON of things from this guy on YouTube and also from these guys in a cube. I'm willing to bet you can search the questions you have & can find specific example videos that'll help you determine if this software is right your company. In my opinion, when it comes to data visualization software, it's tough to beat Power BI. That's especially true if your company is on Office 365.
As a tip, it's important to note what kind of data sources you need to communicate with. And are those sources in a cloud or on premise. That's important depending on how "live" you want your data to be.
The main use of Power BI Desktop (Windows only application) is to get the data from the sources into data model, then load it to the service. The data connections and the ability to create reports is limited compared to the service. The main goal of the service is to share the reports and collaboration.
For example there is no realtionship designer in the service to connect the imported entities. You can create a report in the desktop and load it to the service, and then create other reports from its dataset in the service.
You can create dataflows in the service to get data from flat files, and databases, but you then use Desktop to connect to them and link them together there.

Need advice to design my Azure Analysis Services Data model

I am about to create an azure cloud business intelligence solution. Based on best practice, I will use Azure analysis services (AAS) to hold the data model and create Power BI reports who has live connection to AAS. This is the overall starting point. Then I have these challenges:
Challenge number 1: I want to be able to use the new features of Analysis Services as Calculation Group and Aggregation features. Right now I am using Visual Studio 2019 and SQL Server 2019 azure SQL database that contains a star data model. Can I create a data model in AAS that can take advantage of these new features and how can I do that? For example, can I use Visual Studio 2019 or do I need to create this in tools such as the Tabular Editor
Challenge number 2: If I have to make the model in the Tabular editor, how do I proceed and how do you integrate the model files into Azure Devops?
Challenge number 3: Is it possible to use the Power BI pro in the Power BI service to utilize these features?
All contributions and tips are received with thanks
Sincerely
All this is changing rather rapidly, at present.
Currently Calculation Groups are previewed in SSAS 2019, and have not been rolled out in either Azure Analysis Services or Power BI. Aggregations are available in preview in Power BI Premium, and aren't planned to ship in either SSAS 2019 or Azure Analysis Services.
Support for building Power BI Premium models in Visual Studio has also not shipped yet, as it's dependent on both XML/A endpoints and updated SSDT tooling. Currently you would use Power BI Desktop to design models using Aggregations. Later you can switch over ot using Visual Studio and SSDT when that tooling ships.

Does Microsoft POWER BI work in-house without relying on cloud technology? How is it done?

Does Microsoft POWER BI work in-house without relying on cloud technology? How is it done?
Here is one way: Download Power BI Desktop. Create .pbix documents. Share as you would an Excel workbook.
Use on-premises or external data sources that you have access to. For example, access a SQL Server database using Windows integrated security if so configured; or use the "page scraping" feature to pull a table off of a web page. The data is stored in the .pbix and can be manually refreshed.
This is obviously not a very sophisticated or well-managed approach but does have some advantages.
Following on from #Tom's answer, here's the roadmap including on-prem PowerBI that MS published last year.
https://blogs.technet.microsoft.com/dataplatforminsider/2015/10/29/microsoft-business-intelligence-our-reporting-roadmap/
The short version is that there appears to be an intention of adding this to SSRS in a future release. But for now, the option we use is to share PowerBI workbooks using PowerBI desktop as #Tom describes.