In the January Adatis hackathon we were split into 3 teams and got the chance to play with some bleeding edge technology. I was captain of the Gleam team, which meant we got our hands on the new Power BI Designer preview. To check out the other teams see here: STREAM (stream analytics), DREAM (Azure ML).
We tackled two main dashboards in our hack build, firstly creating excel mock-ups then reproducing inside Power BI Designer. This was pretty challenging as some of the chart types simply weren’t there and there was some awkward mashing of data to get it into different charts. The end results weren’t quite as pretty as we were hoping, but it’s still very quick to put together. The move towards a “dashboard” as opposed to large, single charts means we can create richer, more informative systems using the tool.
However our main focus was the designer itself – this is the start of the Power BI Suite leaving the clutches of Excel. Don’t get me wrong, when Power BI first started coming about it was right at home as a series of Add-Ons for Excel but as it has grown, and SSRS has become more dated, the corporate market started to look towards it for reporting. Power BI as a completely Excel-based system is outside of the development ecosystem, it’s not source controlled or versioned. For this alone I feel it justified for it to leave the nest and out into the real world as a standalone system.
That said… The preview designer is currently lacking functionality, it actually has less functionality than it did in Excel. There were certainly fewer chart types available than in its Excel counterpart and we did come across a few (very annoying) bugs. However, this is only a preview and since the Hackday there have been several updates for it that add various bits of functionality as well as bug fixes. So even if we are not 100% there yet it does seem that this new product is heading in the right direction.
There’s still a question of where it’s heading and how it will develop – but the Power BI Dashboards currently previewing in the US, and new features such as the Power BI API are really moving the technology into a mature, usable state.
We will be keeping a close eye on this as it develops and too see what new features get added in future updates of the preview and eventually in the real thing!
How Artificial Intelligence and Data Add Value to Businesses
Knowledge is power. And the data that you collect in the course of your business
May
Databricks Vs Synapse Spark Pools – What, When and Where?
Databricks or Synapse seems to be the question on everyone’s lips, whether its people asking
1 Comment
May
Power BI to Power AI – Part 2
This post is the second part of a blog series on the AI features of
Apr
Geospatial Sample architecture overview
The first blog ‘Part 1 – Introduction to Geospatial data’ gave an overview into geospatial
Apr
Data Lakehouses for Dummies
When we are thinking about data platforms, there are many different services and architectures that
Apr
Enable Smart Facility Management with Azure Digital Twins
Before I started writing this blog, I went to Google and searched for the keywords
Apr
Migrating On-Prem SSIS workload to Azure
Goal of this blog There can be scenario where organization wants to migrate there existing
Mar
Send B2B data with Azure Logic Apps and Enterprise Integration Pack
After creating an integration account that has partners and agreements, we are ready to create
Mar