AWS Machine Learning Blog

SEPTEMBER 18, 2024

It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly. The following figure shows schema definition and model which reference it.

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Tableau

OCTOBER 8, 2021

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. Our continued investments in connectivity with Google technologies help ensure your data is secure, governed, and scalable.

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Flipboard

MAY 30, 2025

Data quality is ownership of the consuming applications or data producers. Governance The two key areas of governance are model and data: Model governance Monitor model for performance, robustness, and fairness. Model versions should be managed centrally in a model registry.

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Tableau

OCTOBER 8, 2021

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. Our continued investments in connectivity with Google technologies help ensure your data is secure, governed, and scalable. .

Tableau 98

Tableau Analytics Analytics Machine Learning 98

phData

SEPTEMBER 13, 2023

Third-Party Tools Third-party tools like Matillion or Fivetran can help streamline the process of ingesting Salesforce data into Snowflake. With these tools, businesses can quickly set up data pipelines that automatically extract data from Salesforce and load it into Snowflake.

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Iguazio

JANUARY 22, 2024

Definitions: Foundation Models, Gen AI, and LLMs Before diving into the practice of productizing LLMs, let’s review the basic definitions of GenAI elements: Foundation Models (FMs) - Large deep learning models that are pre-trained with attention mechanisms on massive datasets. This helps cleanse the data.

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phData

MAY 25, 2023

While the loss of certain DAX functions is definitely a shortcoming that we hope Microsoft will address in the near future, the impact of these lost DAX functions is not necessarily as big as you would expect. Creating an efficient data model can be the difference between having good or bad performance, especially when using DirectQuery.

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