Getting Started with Fire Insights¶
Fire Insights makes it incredibly fast and easy to do Self-Serve Data Preparation and Advanced Analytics.
With the power of Fire Insights at your hands, seamlessly find value from your data and scale to Petabytes of data.
Install on the cloud, on-premise or even on your laptop. Fire Insights seamlessly integrates with the most complex of Enterprise Environments.
Architecture & Deployment¶
Installation¶
Configuration¶
Authentication¶
Operating Fire Insights¶
Quick Start Guide¶
User Guide¶
Web App User Guide¶
Data Science¶
Time Series¶
Tutorials¶
Troubleshooting¶
Administration¶
Databricks Integration¶
AWS Integration¶
- AWS Guide
- 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
- Fire Integration with Kinesis
- File Watcher with AWS & Sparkflows
- CloudFormation Template with Embedded H2 DB
- CloudFormation Template with MySQL
AZURE Integration¶
Load Balancer Integration¶
Python¶
Developer Guide¶
Processors¶
- Processors
- 16-Utilities
- 09-DataProfiling
- 05-FeatureEngineering
- 01-IO
- 11-ML-SparkML
- ML-TS
- 02-Parse
- 06-Filter
- 18-OpenNLP
- 15-ScoreCardPy
- 03-Prepare
- 04-DataValidation
- CustomProcessors
- 17-Documentation
- 12-ML-H2O
- 13-ML-AWSSagemaker
- 14-ML-Sklearn
- 08-Group
- 06-Code
- 10-Visualization
- 19-Deprecated
- 15-Streaming
- 15-StructuredStreaming
- 14-DL
- 07-JoinUnion