Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. After you finish data preparation, you can use SageMaker Data Wrangler to export features to SageMaker Feature Store.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

APRIL 16, 2024

Create an Amazon Redshift connection Amazon Redshift is a fully managed, petabyte-scale data warehouse service that simplifies and reduces the cost of analyzing all your data using standard SQL. He is focused on building interactive ML solutions which simplify data processing and data preparation journeys.

SQL 122

SQL AWS Database Data Scientist 122

Flipboard

MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.

SQL 141

SQL Data Analyst Data Warehouse AWS 141

AWS Machine Learning Blog

OCTOBER 28, 2024

This minimizes the complexity and overhead associated with moving data between cloud environments, enabling organizations to access and utilize their disparate data assets for ML projects. You can use SageMaker Canvas to build the initial data preparation routine and generate accurate predictions without writing code.

Machine Learning 107

Machine Learning Machine Learning ML ML 107