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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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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Table of Contents Why Discuss Snowflake & Power BI?

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How and When to Use Dataflows in Power BI

phData

Power BI Desktop enables the connection and retrieval of data from various sources, followed by data transformation using Power Query. To address this challenge, Microsoft introduced Dataflows within the Power BI service. What are Dataflows in Power BI?

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Power BI – Finding Total Number of Rows in a Table

Pickl AI

Summary: Counting rows is a fundamental task in Power BI that requires careful consideration. This blog explores how to get total number of rows in power query. Understanding Power BI and Its Importance Power BI is a suite of business analytics tools that allows users to analyze data and share insights.

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Understanding Big Data Visualization

Pickl AI

Tableau is particularly strong in industries like finance, healthcare, and retail where data-driven decisions are crucial. Real-Time Data Monitoring : Allows users to track metrics in real-time. Google Charts Google Charts is a free tool that provides a simple way to visualise data on the web.

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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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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

It is widely used for storing and managing structured data, making it an essential tool for data engineers. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data.