Getting Started with Fire Insights

Fire Insights makes it incredibly easy for anyone to do Big Data Analytics, Data Preparation, Data Science, NLP, OCR, Dedup. It also allows you to extend the capabilities with your own operators.

Architecture & Deployment

• Architecture & Deployment
  • Fire Architecture
  • Fire Deployment Options

Installation

• Installation

Configuration

• Configuration

Quick Start Guide

• Quickstart Guide

User Guide

• User Guide

Data Science

• Machine Learning User Guide
  • Feature Generation
  • Feature Selection
  • Clustering
  • Regression
  • Classification
  • Prediction
  • Model Evaluation
  • Model Persistence
  • Model Serving

Tutorials

• Tutorials
  • Reading - Writing Data
  • Data Exploration
  • Machine Learning
  • Analytics
  • Data Preparation
  • Data Quality
  • Code
  • NLP
  • Streaming
  • OCR
  • REST API

Authentication

Operating Fire Insights

• Operating Guide

Troubleshooting

• Troubleshooting
  • Installation
  • LDAP
  • Upgrade
  • Dataset
  • Running Workflows
  • Fire Server & Workflow Execution Logs
  • Dashboards
  • Kerberos

Administration

• Administration Guide
  • User Administration

Databricks Integration

• Databricks Guide
  • Databricks Integration Steps
  • Databricks Guide
  • Troubleshooting Fire/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

Python

• Python Integration
  • PySpark
  • Jython
  • Pipe Python Processor
  • Pipe Python2 Processor

Performance

• Performance Tuning
  • Caching Level
  • Executor Memory, vcores
  • Repartioning
  • Debug Mode

Developer Guide

• Developer Guide
  • Custom Node Development & Deployment

Frequently Asked Questions

• FAQ

Processors

• Processors
  • 01-Connectors
  • 02-ReadStructured
  • 03-ReadUnstructured
  • 04-Save
  • 05-Transform
  • 06-Code
  • 07-JoinUnion
  • 08-Visualization
  • 09-MachineLearning
  • 10-AWS
  • 11-OpenNLP
  • 12-StructuredStreaming
  • 13-Streaming
  • 14-Util
  • 15-Logs
  • 16-Sftp
  • Notes

Release Notes

• Release Notes
  • Upcoming Features
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • February 2019
  • January 2019
  • November 2018
  • 3.1.0 Release Notes
  • 2.1.0 Release Notes
  • 1.4.0 Release Notes
  • 1.3.0 Release Notes

REST API Authentication

• REST API Authentication
  • Acquire Session Cookie Using CURL
  • Acquire Session Cookie in Python
  • Acquire Token Using CURL
  • Acquire Token using Postman and Grant Type - Password
  • Acquire token using Postman - Authorization code
  • Acquire Token in Python - Grant Type Password

REST API’s using Python

• REST API Examples using Python
  • Accessing REST API using Python & Session
  • Accessing REST API using Python & Tokens

REST API’s using Java

• REST API Examples using Java

REST API’s using curl

• REST API Examples using curl
  • Processors REST API’s
  • Datasets REST API
  • Workflow REST API
  • Workflow Execution REST API
  • Dashboard REST API
  • HDFS REST API
  • HIVE REST API
  • Scheduler REST API

Third Party Acknowledgements

• Third Party Acknowledgements
  • Server Libraries
  • Frontend Libraries
  • Definitions

Indices and tables

• Index
• Module Index
• Search Page