19 июл. 2023 г. · In this post, we discuss how to implement a dimensional model, specifically the Kimball methodology. We discuss implementing dimensions and facts within Amazon ...

20 июн. 2024 г. · Data modeling is a foundational aspect of Amazon Redshift data warehousing critical in optimizing performance, ensuring data integrity, and driving actionable ...

22 мар. 2024 г. · Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS ...

In this section, you can find a summary of the most important design decisions and best practices for optimizing query performance.

Amazon Redshift ML makes it easier for SQL users to create, train, and deploy machine learning models using familiar SQL commands. By using Amazon Redshift ML, ...

9 авг. 2022 г. · Redshift is Amazon's Cloud-based database system. First announced in 2012, Redshift is a data warehouse product designed for analytical systems.

ERBuilder Data Modeler allows developers to graphically design databases by using entity relationship diagrams, and automatically generates the most popular SQL ...

Amazon Redshift ML simplifies creating, training, deploying machine learning models using SQL. Configure permissions, create IAM role, manage access control.

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Опубликовано: 3 янв. 2023 г.

19 авг. 2022 г. · We will explore the use of dbt (data build tool), developed by dbt Labs, to transform data in an AWS-based data lakehouse, built with Amazon Redshift, Redshift ...