Spark

• SageMaker PySpark K-Means Clustering MNIST Example
• SageMaker PySpark Custom Estimator MNIST Example
• SageMaker PySpark PCA and K-Means Clustering MNIST Example
• SageMaker PySpark PCA on Spark and K-Means Clustering on SageMaker MNIST Example
• SageMaker PySpark XGBoost MNIST Example
• Distributed Data Processing using Apache Spark and SageMaker Processing
• Feature processing with Spark, training with XGBoost and deploying as Inference Pipeline
• Using AWS Glue for executing the SparkML job
• Building an Inference Pipeline consisting of SparkML & XGBoost models for a realtime inference endpoint
• Building an Inference Pipeline consisting of SparkML & XGBoost models for a single Batch Transform job
• Train an ML Model using Apache Spark in EMR and deploy in SageMaker