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StreamAnalytix | Real-Time Big Data Streaming Analytics, Apache Spark Streaming

StreamAnalytix, a product of Impetus Technologies is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. Industry's Only Multi-Engine Streaming Analytics Platform based on open source. Build streaming analytics applications for any industry vertical, any data format in minute without any coding.

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StreamAnalytix | Real-Time Big Data Streaming Analytics, Apache Spark Streaming

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  1. StreamAnalytix – An Introduction

  2. STREAMANALYTIX START GUIDE This guide describes how to create real-time streaming data analytics applications with StreamAnalytix in minutes.

  3. STREAMANALYTIX INTRODUCTION • Big enterprises today have a situation where they have masses of data getting generated by various devices and systems. All this data is valuable and enterprises have to make sure that they have the capability to make sense of this at the speed/volume it gets generated. Big Data has evolved around this challenge and provides a platform to stream volumes of data from various sources. It can process this data in real time and provide analytics on and beyond it. • With the amount of data big enterprises are made to handle on a daily basis, Real-time Streaming Analytics is the need of the current and future technology. As a result, enterprises are moving to add real-time streaming analytics engines or platforms to their Big Data architecture stack.

  4. STREAMANALYTIX INTRODUCTION • StreamAnalytix is a streaming data platform for processing real-time data from wide variety of sources. It offers ingestion-to-insights approach on streaming data that is cost-effective and flexible. StreamAnalytix can be leveraged to rapidly develop robust applications for Enterprise Event Processing that will derive the next level of visibility.

  5. STREAMANALYTIX INTRODUCTION • StreamAnalytix offers: • Multi-Engine platform based on Apache Storm and Apache Spark Streaming • Ability to process over a million events per second • Visual application development with a rich library of drag-and-drop operators

  6. STREAMANALYTIX INTRODUCTION • Who should use StreamAnalytix? • Anyone who wants to extract value from their big data quickly and efficiently ranging from data scientists and engineers to developers and data analysts. By providing an interactive Graphical User Interface with role-based access control; a rich library of drag-drop operators for data ingestion, processing, and persistence; and built-in data visualization capabilities; StreamAnalytix enables users to consume data and insights through the interface they’re most comfortable with. • How is StreamAnalytix being used? • StreamAnalytix is being used by enterprises from a wide variety of verticals, including financial services, telecom, healthcare, retail, and utilities. To date, our customers are utilizing the platform for a broad spectrum of use cases including core ETL, data discovery and exploration, data warehousing, data product deployment, and insight publishing using dashboards for internal and external audiences.

  7. STREAMANALYTIX INTRODUCTION • Is your product an Open Source software application? • No, StreamAnalytix is a proprietary software application but we make use of Open-Source technologies. • Can I evaluate you product for free, before purchasing it? • Yes. You can evaluate our product for free, allowing you to see and use our software before purchasing. StreamAnalytix provides a fully functional version of the product for free evaluation on-premises and in-the-cloud. • How is StreamAnalytix priced? • Pricing is tiered based on usage capacity, support model, and feature-set.

  8. SIGN UP FOR FREE CLOUD TRIAL Build real-time streaming apps in minutes quickly and easily without any setup worries. StreamAnalytix is for everyone to get started fast on Spark Streaming. Register now for fully functional and ready-to-use version. Sign up Now - http://streamanalytix.com/cloud-trial-signup

  9. Keep in Touch! Impetus Technologies, Inc. For more informationpleasevisit - http://streamanalytix.com/

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