AWS Big Data Blog
Category: Intermediate (200)
Use unsupervised training with K-means clustering in Amazon Redshift ML
June 2023: This post was reviewed and updated for accuracy. Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price–performance. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and database developers want to use this data to train […]
Simplify data integration pipeline development using AWS Glue custom blueprints
June 2023: This post was reviewed and updated for accuracy. August 2021: AWS Glue custom blueprints are now generally available. Please visit https://docs.aws.amazon.com/glue/latest/dg/blueprints-overview.html to learn more. Organizations spend significant time developing and maintaining data integration pipelines that hydrate data warehouses, data lakes, and lake houses. As data volume increases, data engineering teams struggle to keep up with […]
Get started with the Amazon Redshift Data API
June 2023: This post was reviewed and updated for accuracy. The GitHub repository mentioned in this post is now updated with examples for serverless. Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that enables you to analyze your data at scale. Tens of thousands of customers use Amazon Redshift to […]
Using the Amazon Redshift Data API to interact with Amazon Redshift clusters
June 2023: This post was reviewed and updated for accuracy. July 2021: This post was reviewed and updated to include multi-statement and parameterization support. Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL […]