Webinar
Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix
White Paper
Transform Ab Initio ETL workloads to the cloud or Spark
Blog
Top 10 Lessons Learned: Analytics Transformation to the Cloud
Webinar
Building a mature foundation for life in the cloud
Webinar
EDW Migration Dilemma - Migrating As-Is or Total Re-engineering
Case Study
How a telecom giant fast-tracked their data lake implementation
Case Study
How a telecom giant fast-tracked their data lake implementation
Webinar
Best practices to build a sustainable data lake on cloud in 2020
Solution Brief
Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix
White Paper
Automated transformation of ETL, data warehouse, and analytics to Snowflake
Case Study
Telecom giant saves millions with automated Teradata transformation to data modern data platform
Webinar
Anomaly Detection with Machine Learning at Scale
Data Sheet
StreamAnalytix Lite
Blog
Five Azure Cloud Migration Challenges That Can Catch You Off Guard
Blog
Detect and prevent insider threats with real-time data processing and machine learning
Solution Brief
Intelligent and automated transformation of your enterprise data warehouse to Snowflake — The cloud data platform
Blog
Boosting customer experience with real-time streaming analytics in the travel industry
Webinar
Featuring Forrester - Keys to formulating an effective data management strategy in the age of data
Solution Brief
Intelligent and automated transformation of SAS analytic workloads to a cloud-native stack or Spark
Data Sheet
Ab Initio ETL Transformation to Cloud
Blog
Build, test, and run your Apache Spark ETL and machine learning applications faster than ever
Data Sheet
Transform Your Legacy Workloads to Azure.
Case Study
A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
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Webinar
The Structured Streaming Upgrade to Apache Spark and How Enterprises Can Benefit
Webinar
Real-time Data360 on Apache Spark
Webinar
Self Service Pre-built Pipelines for Building Real-time Streaming Apps
Webinar
The Business Impact of Fast Data Analytics
Webinar
Spark Streaming Made Easy!
Webinar
Harnessing the Firehose: Getting Business Value from Streaming Analytics
Webinar
Accelerating Data Warehouse Modernization with OLAP on Hadoop
Webinar
How Real-time Streaming Analytics is Driving Business Value
Webinar
The Data WareHouse Modernization Series - Part 1: Critical Trends, Implementation Challenges and Solution Approaches
Webinar
Ahead of the Stream: How to Future-Proof Real-Time Streaming Analytics
Webinar
Future-Proof Your Streaming Analytics Architecture
Webinar
Building Real-time Streaming Apps in Minutes
Webinar
Real-world Applications of Streaming Analytics
Webinar
Real-Time Streaming Analytics for the Enterprise based on Apache Storm
Webinar
NoSQL Landscape and a Solution to Polyglot Persistence
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Blog
02/12/2018
Low-code Application Development Can Drive Higher Apache Spark Adoption in the Enterprise
Apache Spark adoption is growing but the complexities remain
Apache Spark has moved beyond the early-adopter phase and is now mainstream. Large data-driven enterprises...
Blog
11/14/2017
StreamAnalytix Lite, a Visual IDE to Build, Test and Run Apache Spark Applications on Your Desktop for Free
Apache Spark is one of the most popular unified analytics engines for data processing today. It has moved beyond the early-adopter phase and is now mainstream in large data-...
Blog
08/30/2017
Aragon Research Recognizes StreamAnalytix as One of Four 2017 Hot Vendors in the Streaming Analytics Space
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...
Blog
08/28/2017
Structured Streaming, Simplifying Building Stream Analytics Applications
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...
Blog
07/20/2017
Using Zeppelin to Build Data Science Models for StreamAnalytix
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...
Blog
05/08/2017
StreamAnalytix Spark Streaming Contest: Real-time Apps Built for Anomaly Detection with Apache Spark
At Impetus, we take data analytics innovation seriously. Very seriously. And one of the ways we continue to improve our software products and services, as well as retain our...
Blog
05/01/2017
Using StreamAnalytix to Calculate the Conversion Rate of a Website
Websites today are the cornerstone to drive business objectives and achieve revenue goals. Hence, business owners need to ask themselves the following questions:
Blog
07/22/2016
Experience the Power of Spark Streaming with StreamAnalytix Free Cloud Trial
Real-time Streaming Analytics Made Easy!
We are happy to announce the Cloud Trial of real- time streaming applications development platform, StreamAnalytix. We are...
Blog
03/30/2016
StreamAnalytix Releases 2.0 with support for Apache Spark Streaming
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...
Blog
12/24/2015
StreamAnalytix Releases Version 1.2
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-...
Blog
08/25/2015
Experience StreamAnalytix in action first-hand and for free!
We are excited about making the power of StreamAnalytix available to a wide audience by way of our Free versions launch today. Click the download button to see what we have for...
Blog
04/01/2015
Streaming Data ETL with Impetus StreamAnalytix and Syncsort DMX – Guest Blog
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...
Blog
02/06/2015
We have ARRIVED!
Hello World!
We have ARRIVED!
February 17, 2015 is a date that everyone at StreamAnalytix will treasure. It is the day when StreamAnalytix announced its General...
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White Paper
A Future-Proof Architecture for Streaming Data Analytics
White Paper
The Build vs. Buy Decision: Exploring a Third Alternative
White Paper
Real-Time Streaming Analytics
White Paper
Driving Business Value from Real-Time Streaming Analytics
White Paper
Data Science for Real-Time Streaming Analytics
White Paper
IoT: The Trigger for Streaming Analytics
White Paper
Top 6 Considerations for a Streaming Analytics Platform
White Paper
Guide to Real-time Anomaly Detection for Enterprise Data
White Paper
StreamAnalytix Lite narrows the Spark talent gap -Ovum Analyst Research Note
White Paper
Integration of Cloudera Navigator Enables Data Governance with StreamAnalytix
White Paper
Harnessing IoT data in an always-connected world
White Paper
Transforming customer 360 for the connected consumer
White Paper
Accelerate Apache Spark Development and Operations
Webinar
Featuring Forrester - Keys to formulating an effective data management strategy in the age of data
Data Sheet
Transform Your Legacy Workloads to Azure.
Webinar
Build Spark-based ETL Workflows on Cloud in Minutes
White Paper
Enterprise 360: Propelling the Data-driven Enterprise with a Unified View
Solution Brief
Intelligent and automated transformation of SAS analytic workloads to a cloud-native stack or Spark
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
Data Sheet
Ab Initio ETL Transformation to Cloud
Webinar
An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives
Solution Brief
Automatically transform Netezza to big data or cloud
Solution Brief
Building a Single Source of Truth across the Enterprise – An Integrated Solution
Solution Brief
ML-based workload assessment and recommendations for ETL, data warehouse, and analytics workloads
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