14 Nov 2017
Anand Venugopal

Visual Spark Studio, a Powerful New IDE to Build, Test and Run Spark Applications on Your Desktop for Free

by Anand Venugopal

Build enterprise- grade functionally rich Spark applications with the aid of an intuitive drag-and-drop user interface and a wide array of pre-built operators.

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15 Oct 2017
Aditi Rastogi

StreamAnalytix Named as a Strong Performer in The Forrester Wave™: Streaming Analytics, Q3 2017

by Aditi Rastogi

Forrester has positioned StreamAnalytix as a strong performer among 13 most significant streaming analytics providers in The Forrester Wave™: Streaming Analytics, Q3 2017; one of the few, and perhaps the most comprehensively evaluated market insight reports focussed on streaming analytics today.

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30 Aug 2017
Larry Pearson

Aragon Research Recognizes StreamAnalytix as One of Four 2017 Hot Vendors in the Streaming Analytics Space

by Larry Pearson

Every time an independent research firm identifies StreamAnalytix as a leading platform in the increasingly competitive space of streaming analytics, it is an exciting moment for us. Inclusion in a recently published report by Aragon Research, a technology focused research and advisory firm, as one of the ‘Hot Vendors in Streaming analytics 2017’ is one such proud moment.

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28 Aug 2017
Anand Venugopal

Structured Streaming, Simplifying Building Stream Analytics Applications

by Anand Venugopal

Last week the StreamAnalytix team hosted a webinar on Structured Streaming, “The Structured Streaming Upgrade to Apache Spark and How Enterprises Can Benefit” and received overwhelming participation from the industry, including many of you reading this. Amit Assudani (Sr. Technical Architect – Spark, StreamAnalytix) and I took a deep dive into Structured Streaming and shared our views on how it enables the real-time enterprise and is simplifying building stream processing applications on Spark. Here is a summary of our current view on Structured Streaming-

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20 Jul 2017
Rashmeet Malik

Using Zeppelin to Build Data Science Models for StreamAnalytix

by Rashmeet Malik

Data scientists use different applications like R, Python or Scala (with notebook tool like Apache Zeppelin) to develop data science models. For example, some prefer R to create their models, others like to write code for their models in languages like Python or Scala using notebook tools like Apache Zeppelin and so on.

StreamAnalytix, a real-time streaming analytics platform, allows users to build and deploy data models by using different tools like PMML, Scala, pyspark. This streaming analytics platform supports multiple languages and formats, enabling users to create the code in their preferred technology.  Once the model is prepared, it can be deployed on StreamAnalytix to run and perform scoring over the data in a distributed fashion.

This article explains how users can create a data model in Apache Zeppelin notebook and use it with the StreamAnalytix platform. It also demonstrates how to use pyspark library to build a SVM classifier on Zeppeling and use it on the StreamAnalytix.

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08 May 2017
Larry Pearson

StreamAnalytix Spark Streaming Contest: Real-time Apps Built for Anomaly Detection

by Larry Pearson

At Impetus, we take data analytics innovation seriously. Very seriously. And one of the ways we continue to improve our big data software products and services, as well as retain our industry leadership standard, is through community programs that empower users to explore innovative uses for analytics technologies with our real-time streaming software, StreamAnalytix.

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01 May 2017
Amarjeet Singh Khalsa

Using StreamAnalytix to Calculate the Conversion Rate of a Website

by Amarjeet Singh Khalsa

E-commerce websites are everywhere. All of these business owners are asking themselves the following questions:

  • Who are my potential customers?
  • What is their pattern of purchase?
  • How can I improve my website to increase business?

 

StreamAnalytix is an excellent platform for performing analytics on the web for any live clickstream data. You can track performance metrics of websites in many ways. One such measure is the relative conversion rate. Let's take a look at what it means, how it's derived and why it's important.

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22 Jul 2016
Sarthak Garg

Experience the Power of Spark Streaming with StreamAnalytix Free Cloud Trial

by Sarthak Garg

We are happy to announce the Cloud Trial of real- time streaming applications development platform, StreamAnalytix. We are excited about bringing the experience and power of Apache Spark Streaming application development available to a wide audience by way of our platform's cloud instance. By making available StreamAnalytix on Cloud and for free, our intent is to fuel the growth of the streaming analytics community. This will provide a way to new generation developers, data scientists, and data engineers to build their analytical applications quickly in just few clicks and get them up and running in minutes.

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30 Mar 2016
Sarthak Garg

StreamAnalytix Releases 2.0 with support for Apache Spark Streaming

by Sarthak Garg

StreamAnalytix Releases

We feel proud to release StreamAnalytix 2.0 - the industry's only multi-engine RTSA platform! With a proven product based on Apache Storm, StreamAnalytix has taken a big step forward with the release of the product version 2.0 that also supports Apache Spark Streaming.

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24 Dec 2015
Anand Venugopal

StreamAnalytix Releases Version 1.2

by Anand Venugopal

We're happy to announce the release of StreamAnalytix 1.2. In this release, we have taken a big leap towards developer enablement with the vision to minimize custom-coding.

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