Webinar
Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix
Most enterprises are undertaking a digital transformation initiative. Data and analytics modernization is an integral part of this journey. On-premise legacy systems like Hadoop...
White Paper
Transform Ab Initio ETL workloads to the cloud or Spark
Leading companies across industries have been using Ab Initio to solve the most complex data processing problems. However, advanced cloud platforms are now challenging Ab Initio’s...
Blog
Top 10 Lessons Learned: Analytics Transformation to the Cloud
According to the Cisco Global Cloud Index, 94 percent of compute instances and workloads will be processed in the cloud data centers by 2021. Enterprises are eager to take...
Webinar
Building a mature foundation for life in the cloud
While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental...
Webinar
EDW Migration Dilemma - Migrating As-Is or Total Re-engineering
Enterprises moving their legacy workloads to on-premise/cloud modern data platforms have been facing the dilemma of deciding between migrating as-is and total re-engineering....
Case Study
How a telecom giant fast-tracked their data lake implementation
Modern machine learning implementation on the data lake led to 6% increase in customer acquisition
Case Study
How a telecom giant fast-tracked their data lake implementation
Modern machine learning implementation on the data lake led to 6% increase in customer acquisition
Webinar
Best practices to build a sustainable data lake on cloud in 2020
Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on...
Solution Brief
Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix
Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...
White Paper
Automated transformation of ETL, data warehouse, and analytics to Snowflake
Traditional data warehouses are constrained by performance, scalability, and elasticity issues. Enterprises are increasingly moving to the next-generation cloud data warehouses...
Case Study
Telecom giant saves millions with automated Teradata transformation to data modern data platform
Released 20% Teradata capacity by migrating 1000 BTEQ scripts containing 16,000 queries, 750 mLoad, TPT, and FExp scripts
Webinar
Anomaly Detection with Machine Learning at Scale
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...
Data Sheet
StreamAnalytix Lite
StreamAnalytix Lite makes Spark easy and expands the base of users that can build Spark based applications. It off¬ers an easy-to-use visual Integrated Development Environment (...
Blog
Five Azure Cloud Migration Challenges That Can Catch You Off Guard
Legacy data warehouses are choking under the weight of new unstructured and fast data sources, and enterprises are struggling to address challenges like secure data access,...
Blog
Detect and prevent insider threats with real-time data processing and machine learning
Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to...
Solution Brief
Intelligent and automated transformation of your enterprise data warehouse to Snowflake — The cloud data platform
Enterprises moving to Snowflake can experience benefits such as full SQL support, serverless architecture, strong partnerships with BI and ETL tools, and ease of maintenance....
Blog
Boosting customer experience with real-time streaming analytics in the travel industry
A large US-based airline use case. A recent study by Harvard Business Review revealed that 60% of enterprise business leaders believe real-time customer analytics is crucial to...
Webinar
Featuring Forrester - Keys to formulating an effective data management strategy in the age of data
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a...
Solution Brief
Intelligent and automated transformation of SAS analytic workloads to a cloud-native stack or Spark
Is your organization looking to reduce its dependence on the SAS platform?
Offloading your SAS workloads to a distributed processing paradigm will help you cut costs while...
Data Sheet
Ab Initio ETL Transformation to Cloud
Out-of-the-box ETL transformation accelerators
Need to transform your ETL workloads from legacy data warehouses to big data and cloud? It can be complicated, tedious, and error-...
Blog
Build, test, and run your Apache Spark ETL and machine learning applications faster than ever
Start building Apache Spark pipelines within minutes on your desktop with the new StreamAnalytix Lite.
Data Sheet
Transform Your Legacy Workloads to Azure.
Are you looking to transform your ETL workloads from legacy data warehouses to the cloud?
What if you could do it through an automated approach, with a 75% reduction in time-to-...
Case Study
A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture
A U.S.-based Fortune 500 bank wanted to offload their Teradata-based Marketing Campaign Process (MCP) to Hadoop. Impetus designed a hybrid big data-based cloud solution for the...
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘...
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Webinar
The Structured Streaming Upgrade to Apache Spark and How Enterprises Can Benefit
The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and...
Webinar
Real-time Data360 on Apache Spark
Data360 - is a new term and is being used to represent a one-stop shop for all your data processing needs.
Webinar
Self Service Pre-built Pipelines for Building Real-time Streaming Apps
Streaming analytics is fast becoming a must-have technology for enterprises seeking to gain competitive advantage from Data.
Webinar
The Business Impact of Fast Data Analytics
Data explosion has caused a shift from traditional structured, and batch or periodic data warehouse environments to a complex combination of structured, semi-structured,...
Webinar
Spark Streaming Made Easy!
Real-time streaming analytics and IoT seem to be the next big thing in the data and analytics industry. As enterprises adopt Apache Spark and Spark Streaming widely, IT teams are...
Webinar
Harnessing the Firehose: Getting Business Value from Streaming Analytics
The Briefing Room with Dr. Robin Bloor, Dez Blanchfield and StreamAnalytix- Impetus Technologies
Webinar
Accelerating Data Warehouse Modernization with OLAP on Hadoop
This webinar presents a blue print for a Modern Data Warehouse that can make migrating from the EDW to Hadoop much less risky, and deliver faster, cost efficient analytics.
Webinar
How Real-time Streaming Analytics is Driving Business Value
Most analytics are currently performed on data at rest. However, the agile, responsive enterprise strategy of today requires the ability to address perpetually moving streams of...
Webinar
The Data WareHouse Modernization Series - Part 1: Critical Trends, Implementation Challenges and Solution Approaches
The introductory webinar of the series, it talks about implementing a logical path for a Data Warehouse Modernization end-to-end solution.
Webinar
Ahead of the Stream: How to Future-Proof Real-Time Streaming Analytics
The Briefing Room with Dr. Robin Bloor and StreamAnalytix- Impetus Technologies.
Webinar
Future-Proof Your Streaming Analytics Architecture
Join our guest speaker from Forrester and Anand Venugopal of Impetus Technologies for a discussion on the options and optimal architecture to incorporate real-time insights into...
Webinar
Building Real-time Streaming Apps in Minutes
The webinar will fulfil the aim of creating a Modern Enterprise Data Architecture to serve customers in real-time or near-real-time in a context-sensitive manner enabled by a...
Webinar
Real-world Applications of Streaming Analytics
This webinar will share insights into the use case, the solution architecture and the implementation in several current application projects.
Webinar
Real-Time Streaming Analytics for the Enterprise based on Apache Storm
The webinar will cover building a streaming analytics platform for enterprise, technology benchmarks and a demo of StreamAnalytix.
Webinar
NoSQL Landscape and a Solution to Polyglot Persistence
Consider the business opportunity and the technology need that various NoSQL databases can support.
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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
Are you ready to reap the benefits of streaming analytics, but are worried about investing in new technology that could rapidly be surpassed or become outdated?
White Paper
The Build vs. Buy Decision: Exploring a Third Alternative
As enterprises realize the power of real-time information, streaming analytics platforms are fast becoming a must-have technology for enterprises. This whitepaper explores the...
White Paper
Real-Time Streaming Analytics
Here is a one stop source for all that you wanted to learn about real-time streaming analytics.
This comprehensive guide explores the genesis of streaming analytics and the...
White Paper
Driving Business Value from Real-Time Streaming Analytics
Driving Business Value from Real-Time Streaming Analytics
Is your data value decreasing with each increment of delay, becoming less a force for rapid response than a resource for...
White Paper
Data Science for Real-Time Streaming Analytics
Are you looking to extract business value in real-time from data in motion? Data analytics forms a crucial part of Real-time Streaming Analytics (RTSA) that allows for the...
White Paper
IoT: The Trigger for Streaming Analytics
An Ovum white paper for Impetus StreamAnalytix
The Internet of Things (IoT) is becoming ubiquitous. More than just a curious trend, enterprises have a huge stake in harnessing...
White Paper
Top 6 Considerations for a Streaming Analytics Platform
All data is first generated in real-time, be it financial transactions, sensor data, web clickstreams, geolocation data, weather reports, market data, social media, and other...
White Paper
Guide to Real-time Anomaly Detection for Enterprise Data
Anomaly detection forms an essential component of real-time analytics, which help enterprises gain significant actionable insights across a wide variety of application domains....
White Paper
StreamAnalytix Lite narrows the Spark talent gap -Ovum Analyst Research Note
Spark has eclipsed MapReduce as the preferred processing engine in the enterprise due to its speed, real-time data processing capabilities, and utility in machine learning...
White Paper
Integration of Cloudera Navigator Enables Data Governance with StreamAnalytix
Ensuring that the data is well managed, secure, and accessible are some of the critical requirements for organizations relying on data as a core asset for decision making....
White Paper
Harnessing IoT data in an always-connected world
As the Internet of Things generates incessant data, organizations need smarter and more efficient ways to manage and process fast-growing data volumes.
White Paper
Transforming customer 360 for the connected consumer
Massive volumes of customer data are being generated every second. To derive valuable insights from these real-time data streams, businesses must first be able to access a unified...
White Paper
Accelerate Apache Spark Development and Operations
Enterprises are increasingly adopting Spark for tasks ranging from ingestion, ETL, and data processing to advanced analytics and machine learning. But despite its growing...
Webinar
Featuring Forrester - Keys to formulating an effective data management strategy in the age of data
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a...
Data Sheet
Transform Your Legacy Workloads to Azure.
Are you looking to transform your ETL workloads from legacy data warehouses to the cloud?
What if you could do it through an automated approach, with a 75% reduction in time-to-...
Webinar
Build Spark-based ETL Workflows on Cloud in Minutes
Learn how you can visually design and manage Spark-based workflows on Amazon EMR and Databricks with StreamAnalytix
ETL on cloud is more relevant than ever, as most businesses...
White Paper
Enterprise 360: Propelling the Data-driven Enterprise with a Unified View
As businesses continue to grow, existing enterprise data warehouses are faced with the challenge of storing and synthesizing increasing data volumes. Legacy platforms are neither...
Solution Brief
Intelligent and automated transformation of SAS analytic workloads to a cloud-native stack or Spark
Is your organization looking to reduce its dependence on the SAS platform?
Offloading your SAS workloads to a distributed processing paradigm will help you cut costs while...
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘...
Data Sheet
Ab Initio ETL Transformation to Cloud
Out-of-the-box ETL transformation accelerators
Need to transform your ETL workloads from legacy data warehouses to big data and cloud? It can be complicated, tedious, and error-...
Webinar
An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives
Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.
Solution Brief
Automatically transform Netezza to big data or cloud
To make the move to big data / cloud, you’ll need to confront the complexity of transforming Netezza warehouse workloads. Manual identification and transformation of EDW, ETL,...
Solution Brief
Building a Single Source of Truth across the Enterprise – An Integrated Solution
Data-driven decision making is changing the way businesses operate, and the data warehouse is at the core of an enterprise’s big data and analytics strategy. Existing data...
Solution Brief
ML-based workload assessment and recommendations for ETL, data warehouse, and analytics workloads
The first step to full-scale data platform modernization is workload assessment, which includes both enterprise data warehouse (EDW) and extract, transform, load (ETL) assessment...
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