Fire Insights on AWS

Fire Insights is deeply integrated and certified on AWS. It can be installed on an EMR cluster or on a standalone machine on AWS.

It can process data from S3, Redshift, Kinesis etc.  Detailed documentation of the integration is available at :

 

http://docs.sparkflows.io/en/latest/aws/index.html

Build and Run Analytics and ML jobs on EMR or standalone machines.

Seamlessly read files from
S3 and process them.

Send data to and build ML

models on Sagemaker

Read and Write data to Redshift.

Read and process streaming

data from Kinesis.

Results include data in

Charts, Tables, Text etc.

Integration with EMR

Fire can be easily installed on an AWS EMR Cluster. Fire can be installed on the master node of an EMR cluster. It would then submit the jobs to the EMR cluster.​

Integration with S3

Fire Insights allows you to access your files on S3. The jobs run by Fire can read from and write to files on S3. The files can be in various file formats including CSV, JSON, Parquet, Avro etc.​ Fire also allows you to browse your files on S3.

Integration with Redshift

Fire is fully integrated with Redshift. Fire has processors for reading from and writing to Redshift. They include:

         Read Redshift AWS

         Write Redshift AWS

Integration with Sagemaker

Fire is fully integrated with AWS SageMaker. Fire provides a number of
processors for doing model building with SageMaker. These include :

LinearLearnerBinaryClassifier

LinearLearnerRegressor

PCASageMakerEstimator

SaveSageMaker

KMeansSageMakerEstimator​

XGBoostSageMakerEstimator

 

​LDASageMakerEstimator

Benefits of Sparkflows on AWS

Find quick value with Sparkflows and AWS

Enable Business Analysts

Enable Business Analysts to find quick value with Databricks clusters.

Self Serve Advanced Analytics

Enable users to do analytics and Machine Learning in minutes.

Return on Investment (ROI)

Enable 10x more to build

Data Science use cases.

10x More Users

Makes it easy to build, maintain

and execute

No code and low code platform

Solve your data science use cases 10x faster.

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