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Tabular Data Exploration and Modelling with LLMs

Towards AI

Tabular data is the data in the typical table — some columns and rows are structured well, like in Excel or SQL data. It's the most common usage of data forms in many data use cases. With the power of LLM, we would learn how to explore the data and perform data modeling. How do we do?

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Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

In this article, we will discuss how Python runs data preprocessing with its exhaustive machine learning libraries and influences business decision-making. Data Preprocessing is a Requirement. Data preprocessing is converting raw data to clean data to make it accessible for future use.

Python 141
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Looking Ahead: The Future of Data Preparation for Generative AI

Data Science Blog

The effectiveness of generative AI is linked to the data it uses. Similar to how a chef needs fresh ingredients to prepare a meal, generative AI needs well-prepared, clean data to produce outputs. Businesses need to understand the trends in data preparation to adapt and succeed.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 138
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Shift governance and data management to enable, not restrict, your organization

Tableau

Quality: Ensure and communicate trusted data. Self-service relies on maintaining quality data that people can trust. Establishing repeatable processes to prepare data, build data models, publish, and certify them ensures that your data is ready for analysis and trusted for decision-making.

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Shift governance and data management to enable, not restrict, your organization

Tableau

Quality: Ensure and communicate trusted data. Self-service relies on maintaining quality data that people can trust. Establishing repeatable processes to prepare data, build data models, publish, and certify them ensures that your data is ready for analysis and trusted for decision-making.

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What is a data fabric?

Tableau

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation.

Tableau 102