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Data Modeling Fundamentals in Power BI

phData

When thinking about Power BI , the platform’s visuals and report side immediately come to mind. While the front-end report visuals are important and the most visible to end users, a lot goes on behind the scenes that contribute heavily to the end product, including data modeling. What is Data Modeling?

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

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.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. With the concept of Data Mesh you will be able to access all your organizational internal and external data sources once and provides the data as several data models for all your analytical applications.

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

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.

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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Many participants used beginner-friendly online interfaces, like NASA Worldview and Giovanni , to explore and manipulate data.

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Mastering the Art of Data Visualization: Tips & Techniques

ODSC - Open Data Science

Effective Techniques for Data Visualization Let’s dive into the world of Power BI to explore its features and learn some useful data visualization tips and tricks for data visualization. One of the most potent features of Power BI is Quick Insights.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges.