Remove Business Intelligence Remove Citizen Data Scientist Remove Data Analyst
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Goodbye Dashboards: How Modern BI Tools Are Being Used to Analyze Data

Dataversity

Not all that long ago, the only way for businesses to readily access their data was through dashboards. And, even then, these predefined and static dashboards provided data that was restricted only to citizen data scientists and data analysts.

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The Modern Data Stack Explained: What The Future Holds

Alation

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

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An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

Mlearning.ai

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. Students and Teachers.

Python 52
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Data science

Dataconomy

Roles of data professionals Various professionals contribute to the data science ecosystem. Data scientists are the primary practitioners, employing methodologies to extract insights from complex datasets. Data visualization developer: Creates interactive dashboards for data analysis.