Self Serve Big Data Analytics & Machine Learning​

                               Perform Machine learning on large datasets with drag and drop

Overview

         Increasingly organizations across many industries are using data from many different sources. Performing Analytics and ML across them provides great Business Benefits.

         However, very few users are enabled to make use of the Big Data Platforms. Data is not accessible, tools are too complex to use and achieving the end to end from Data Cleaning, Data Analytics, Feature Generation to building and analyzing ML models on these Datasets becomes very hard. This leads to frustration and failure of the Use Cases we set about to solve.

         Fire Insights is the ideal Platform for enabling powerful self-serve big data analytics & ML. With browser based most powerful workflow editor, easy access to data, 200+ pre-built processors, powerful visualizations and insights into the job run, makes it seamless for the users to solve the very complex scenarios.

Machine Learning

         Fire Insights provides a number of Processors for Machine Learning on Big Data. These include:

 

  • Feature Generation

  • Feature Selection

  • Clustering

  • Regression : Linear Regression, Decision Tree Regression, Random Forest Regression, Gradient-boosted Tree Regression

  • Classification : Logistic Regression, Decision Tree, Random Forest, Gradient-Boosted Tree, Naive Bayes

  • Collaborative Filtering

  • Model Selection and Tuning

 

         Fire Insights currently uses Apache Spark™ ML for powering the machine learning algorithms. Integration with Tensorflow™, XGBoost™, H2O™ are on the roadmap.

 

        Fire Insights also allows running Python on distributed data and multiple models can be built in parallel.

Big Data Analytics

         Fire Insights provides a powerful platform for doing Big Data Analytics.

Today analytics for hard questions requires processing large datasets in a distributed fashion.

         Fire Insights provides  joining datasets easily from various sources, perform data validations, run multiple SQL queries on them, perform aggregations, filtering etc. to quickly get to your answers.

 

         All these are enabled in minutes by building out a workflow. Also achieve powerful visualization on your data instantly.

Big Data Preparation

 

         While Big Data is the place where data from many, many sources are brought together, it becomes increasing important to be easily able to clean and prepare them.

         Fire Insights makes it extremely easy with powerful data readers, data cleaning, data validation, deduplication, processors etc.

          As you apply the transforms for data cleaning, the powerful editor displays the output results of any step immediately making it interactive and easy to prepare the data.

Dashboards

         Fire Insights enables building rich dashboards in minutes. Dashboard editor allows dragging and dropping nodes from any of the workflows into a canvas.

         When the workflows execute, the dashboard is populated with the output of the specified processors.

Powerful Self-Serve

         Fire Insights provides powerful self-serve rich capabilities on Big Data accessible through the Browser.

         Data is protected with users able to only access data configured for them. Users can share datasets, workflows and dashboards with other users.

No more trying to run large scale Analytics on your Laptops

Fire Insights enables running analytics on Server Machines. Do not be limited and bogged down trying to run big jobs on your Laptop or incurring heavy license costs when running on the Servers

Scale out easily and cost effectively
  • Start with one machine and scale out adding any number of machines to the Cluster, supporting any number of users.

  •  Sparkflows provides blazing performance at the price of commodity hardware.

  • No more waiting endlessly for the processing to complete or heavy license costs.

SUPPORT

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