![Run Apache Spark 3.0 workloads 1.7 times faster with Amazon EMR runtime for Apache Spark | AWS Big Data Blog Run Apache Spark 3.0 workloads 1.7 times faster with Amazon EMR runtime for Apache Spark | AWS Big Data Blog](https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2020/12/23/BDB-1085-2.jpg)
Run Apache Spark 3.0 workloads 1.7 times faster with Amazon EMR runtime for Apache Spark | AWS Big Data Blog
![Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning | AWS Big Data Blog Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning | AWS Big Data Blog](https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2016/12/29/o_powering_redshift_analytics_1.gif)
Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning | AWS Big Data Blog
![Running on-demand, serverless Apache Spark data processing jobs using Amazon SageMaker managed Spark containers and the Amazon SageMaker SDK | AWS Machine Learning Blog Running on-demand, serverless Apache Spark data processing jobs using Amazon SageMaker managed Spark containers and the Amazon SageMaker SDK | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2020/09/25/1-Flowchart-4.jpg)
Running on-demand, serverless Apache Spark data processing jobs using Amazon SageMaker managed Spark containers and the Amazon SageMaker SDK | AWS Machine Learning Blog
![AWS connector for Amazon Redshift – Amazon Redshift Integration for Apache Spark Features – Amazon Web Services AWS connector for Amazon Redshift – Amazon Redshift Integration for Apache Spark Features – Amazon Web Services](https://d1.awsstatic.com/reInvent/reinvent-2022/baikal/Product-Page-Diagram_Amazon-Redshift_Integration-for-Apache-Spark.8ca4150d776e5932562f6176355220ddd21f44ce.png)