Data Governance Data Models Power BI 
phData
SEPTEMBER 11, 2023
Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. Learning how to implement row-level security is critical for any Power BI developer hoping to add an extra layer of security to their reports and datasets.
Data Science Blog
MAY 20, 2024
It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models. It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL.
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Data Science Blog
NOVEMBER 15, 2023
New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.
ODSC - Open Data Science
JUNE 12, 2023
The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. What is Power BI Datamarts? What is a Datamart?
Data Science Dojo
OCTOBER 31, 2024
Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.
phData
JULY 11, 2023
Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?
Smart Data Collective
NOVEMBER 24, 2020
Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Yet, there are promising rival products, worth attention.
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