AWS GuideΒΆ
- Introduction
- Planning Guide
- Deployment Guide
- S3 Integration
- Testing Fire Insights on AWS
- Operational Guide
- Copying files to S3 with aws-cli
- Reading/Writing from S3
- Saving ML Model to S3
- Fire Integration with HIVE
- Fire Integration with Redshift
- Fire Integration with SageMaker
- Spark Sagemaker Examples
- Fire SageMaker Processors
- AWS Provided Policies
- Launching EMR
- Create New Role
- Use ARN of the new Role in the Workflow
- AWS Instance Types
- Dataset Column Names for Training with Sagemaker
- Flow with Sparkflows and AWS
- XGBoost Sagemaker Workflow
- XGBoost Configuration
- Executing the Workflow
- Fire Integration with Kinesis
- Install AWS CLI
- Create an access key and secret key
- Configure AWS CLI
- Create AWS Kinesis Stream
- Send message to AWS Kinesis from AWS CLI
- Update EMR_EC2_Default_Role
- Or Create an IAM policy for accessing Amazon Kinesis
- Create EMR Cluster with the above Role
- Pushing data to Kinesis
- Kinesis Workflow in Fire
- REFERENCE : Creating Access Key & Secret Key
- File Watcher with AWS & Sparkflows
- CloudFormation Template with Embedded H2 DB
- CloudFormation Template with MySQL