MIST ALLOWS SPARK JOBS TO BE DEPLOYED IN A MULTI-TENANT MICROSERVICES ARCHITECTURE
Turn Analytics into Products
Increase the return on investment of big data analytics by building end user products on top of those.
Expose data science and algorithms to enterprise applications
Mist makes it easier for developers to tap into big data algorithms from web apps by addressing those as APIs.
Simplify the connection between business and data scientists
Deliver forecasting apps, smart alerts, and prescriptive insights that business can understand instead of statistical reports and raw algorithms.
Let business interact with big data
Write a simple web app that lets business users type input into the model and provide feedback. Then the data scientist tunes the job based on that. Provides an easy interface that does not require coding.
Hide complex big data details
Regular, non-big-data web programmers can run complicated big data aggregation jobs without having to understand distributed computing, machine learning, statistics, and advanced mathematics.
Build productivity tools for data scientists
The advanced Mist user can use Mist to develop their own hosted notebooks, ETL builder, or write other productivity tools for data analysts.