BI #1 Power BI Training in Pakistan The goal of this article is to identify a variety of habits and assumptions that can lead to unsatisfactory Power BI projects and environments. Inefficient resource use, higher expenses, poorer performance, reliability concerns (e.g. data refresh failures), more operational support or maintenance, and version contingency are just a few of the symptoms associated with these “warning signals.”
I’m just highlighting a few of the top, higher-level topics that I’ve seen in larger installations because this is a really broad topic, and Power BI services in Pakistan have developed to include many more use cases. These issues may have a greater or lesser influence on you depending on the scope and aims of your Power BI deployment, as well as your organization’s policy, available resources, and other considerations.
BI #1 Power BI Training in Pakistan
For each new report, a new dataset is created.
When I first join a project, one of the first metrics I look at is the number of reports per dataset. This figure is often pretty close to 1.0, in my experience. To put it another way, whenever a new report is prepared, it is accompanied by a dataset – each PBIX file contains both the dataset and the report.
This is less of a concern if the dataset represents a connection to an Analysis Services data model, but it’s a major concern if the dataset is a data model in and of itself, complete with source queries, connections, metrics, and so on. If the dataset contains import mode tables, you may quickly run out of memory or encounter refresh concurrency constraints when refreshing all of the datasets.
What causes this to happen? Here are a few of the most important reasons:
There were no existing datasets/models containing the essential data or logic, so the developer or business analyst was tasked with creating reports.
Despite being a data modeling tool, Power BI Desktop is primarily referred to be a “report publishing tool.” As a result, just creating a dataset/data mode may seem counterintuitive.
Because there was no way to share a Power BI partner in Pakistan between workspaces (shared datasets are still in preview), it became the usual practice to create a new dataset for each new workspace.
Before you start creating a new Power BI dataset, especially one that imports data from sources, be sure that A) a dataset/data model with the essential data and logic already exists, and B) If a new dataset is required, consider how your dataset will enable numerous reports.
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Misunderstood Power BI Artifact Types
It’s one thing to lack experience with Power BI’s key programming languages (DAX, Power Query (M)), but a lack of understanding of the underlying Power BI Training in Pakistan artifacts and how they interact is far more harmful to success.
If you’re familiar with relational databases, consider what would happen if a large number of users and/or developers had access to database objects and didn’t comprehend the differences between tables, views, functions, and stored procedures. Obviously, resource and performance difficulties (as well as general mayhem) would occur, and you’d want to make sure that only people with a basic understanding of these issues are allowed to use them.
User classifications that are far too broad
It’s tempting to divide consumers in organizations into simply two categories or personas, such as “end-users” and “creators.” You might think that ‘creators’ will be given pro licenses and trained on how to create and distribute material, while ‘end-users will be taught how to consume and access it.
Identity Management and Restricted Group Access
A big, manually managed list of individual individuals allowed access to a Power BI app is something I frequently see. The underlying dataset(s) within the workspace published as an app does not implement row-level security, so the app permission list is the only access layer, and adding and removing users is the responsibility of a few users in the workspace.
Flying Blind at the Organizational Level
Power BI teams often have in-depth knowledge of specific projects they’ve been working on but sometimes don’t see the bigger picture of overall Power BI adoption, usage, and resource utilization for their organization. For example, someone on the Power BI team may utilize usage metrics for one or a few specific workspaces but not have any idea how much Power.
Only as a ‘Visualization Tool,’ Power BI
Although Power BI can be used solely as a data visualization tool, there is a compelling case to be made for combining the platform’s broader set of capabilities, such as enterprise modeling, paginated reports, AI, and dataflows. Paginated reports, for example, have traditionally been a completely different BI product (SQL Server Reporting).
Power BI Administration: Passive and Reactive
Let’s pretend you know who your principal Power BI training in Pakistan is and you’re familiar with the basics of your setup, such as licenses, premium capacity utilization, activity logs, and so on. You might examine the performance of the Power BI Premium metrics app once a week, as well as an on-premises data gateway monitoring option. If there aren’t any major bottlenecks.
Assume a Power BI project for the sales department was a huge success. Project and team leaders may find it enticing to declare that this project is the final standard and pattern to be followed for all future initiatives and solutions.