Remove 2024 Remove Clean Data Remove Data Modeling
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Tabular Data Exploration and Modelling with LLMs

Towards AI

Last Updated on January 12, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E Large Language Models have been rising recently and will be like that in the upcoming year. How do we do?

Python 126
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2024’s top Power BI interview questions simplified

Pickl AI

Optimising Power BI reports for performance ensures efficient data analysis. Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. How does Power Query help in data preparation?

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dbt Labs’ Coalesce 2023 Recap

phData

Read more about the dbt Explorer: Explore your dbt projects dbt Semantic Layer: Relaunch The dbt Semantic Layer is an innovative approach to solving the common data consistency and trust challenges.

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Why Should you Codify your Best Practices in dbt?

phData

Downstream Models Dependent on Source : Downstream models (marts or intermediate) should not directly depend on source nodes. Staging models are believed to be the atomic units for data modeling and hold transformed source data as per the requirements. The dbt experts at phData can help!

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