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.

Read More

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-

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

25 Aug 2015
Anand Venugopal

Experience StreamAnalytix in action first-hand and for free!

by Anand Venugopal

Anand Venugopal, Senior Director - We are excited about making the power of StreamAnalytix available to a wide audience by way of our Free versions launch today.It is truly immense value and power we are making available at no cost.

Read More

01 Apr 2015
Gregory Grubbs

Streaming Big Data ETL with Impetus StreamAnalytix and Syncsort DMX - Guest Blog

by Gregory Grubbs

Streaming Big Data ETL with Impetus StreamAnalytix and Syncsort Today we are announcing a partnership between Syncsort and Impetus Technologies, and our entry into an integration of batch processing and real-time stream processing that we call "Streaming ETL".

Read More

Pages