Flipboard

JUNE 26, 2023

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.

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AWS ML ML ETL 123

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS ML ML Data Classification 99

phData

OCTOBER 23, 2023

You’re gathering JSON data from different APIs and storing it in places like AWS S3, Azure ADLS Gen2, or Google Bucket. Then, you can connect these storage locations to the Snowflake Data Cloud using integration objects and use the JSON entities as Snowflake external tables.

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Data Governance Python Data Classification Azure 52

Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

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AWS Machine Learning Blog

MARCH 27, 2025

Prerequisites To follow along with this post, set up Amazon SageMaker Studio to run Python in a notebook and interact with Amazon Bedrock. If prompted, set up a user profile for SageMaker Studio by providing a user name and specifying AWS Identity and Access Management (IAM) permissions. Create a private JupyterLab space.

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AWS ETL ML ML 111