Data Science Blog

MAY 20, 2024

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. Data Lakes : It supports MS Azure Blob Storage. pipelines, Azure Data Bricks.

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phData

SEPTEMBER 28, 2023

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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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?

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Pickl AI

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Power BI enhances decision-making by providing interactive dashboards and reports that are accessible to both technical and non-technical users. What Is Power BI?

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Pickl AI

JANUARY 28, 2025

Data Integration Once data is collected from various sources, it needs to be integrated into a cohesive format. Data Quality Management : Ensures that the integrated data is accurate, consistent, and reliable for analysis. This can involve: Data Warehouses: These are optimized for query performance and reporting.

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ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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Analytics Analytics Data Analyst Data Science 52

Pickl AI

AUGUST 9, 2024

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js

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