Resources

Blog

StreamAnalytix Cloud – Your next-generation tool for self-service ETL and machine learning

Impetus’ StreamAnalytix Cloud is fast transforming the industry’s extract, transform, load (ETL) landscape. Enterprises can now effortlessly build ETL flows on the cloud,...

Webinar

Keys to ensuring airtight security in the cloud

Protect the confidentiality, integrity, and availability of your customers’ data and applications With 94% of enterprises already using a cloud service, it is evident that cloud...

Case Study

A centralized data lake on the cloud enabled a single source of truth with real-time integration of sources

A leader in digital solutions for enhancing customer journeys implemented a data lake on AWS resulting in 60% infrastructure cost reduction and improved application performance by...

Webinar

Automated EDW assessment and actionable recommendations for moving analytics to the cloud

Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories.

Case Study

E-learning platform rearchitected on AWS to support global expansion

Automated DevOps and operationalized a serverless, secure platform

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.

Blog

Building serverless ETL pipelines on AWS

Technological advancements in the past decade have transformed the software development landscape significantly. Cloud services like Infrastructure-as-a-Service (IaaS) and...

Case Study

Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider

A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing

Webinar

Automate EDW transformation to Snowflake and leverage existing investments

Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.

Blog

Key considerations for moving ETL workloads and enabling self-service ETL on cloud

The exponential growth of data across industries is fuelling the evolution of extract, transform, and load (ETL) processes. However, traditional on-premise environments are...

E-Book

10 key considerations to build a sustainable and robust data lake on the cloud

In today’s dynamic business landscape, enterprises are increasingly looking to create cloud-based data lakes in order to realize greater speed, scalability, agility, and other...

Webinar

A blueprint for analytics and DW transformation to the cloud

Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...

Data Sheet

Rearchitect your legacy workloads to AWS

As a modern cloud platform, AWS empowers enterprises with improved scalability, greater elasticity, and reduced costs. However, the journey of modernization can be time-consuming...

Case Study

Single source of truth from 500+ data feeds - Fortune 500 firm implemented an enterprise data lake on cloud (AWS)

A scalable, one-click data ingestion solution for data pipelines and use cases with built-in robust security, governance, and metadata management

Blog

5 building blocks of security and governance on AWS Cloud

Through 2025, 99% of cloud security failures will be the customer’s fault. - Gartner Successful cloud migration involves understanding the responsibilities shared between an...

Case Study

A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS

A Top 100 American bank used Impetus’ Workload Transformation accelerator for intelligent assessment and auto-converting ~80% of their Informatica and Oracle data warehouse to an...

Blog

Modernize your ETL processes with StreamAnalytix

Businesses are struggling with huge volumes of data to solve complex business problems while relying on their legacy data platform infrastructure. However, traditional ETL tools...

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

Streaming Analytics for IoT with Apache Spark

Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.

Webinar

Accelerate Your Journey from Netezza to a modern data platform

To achieve greater scalability and tighter integration with their enterprise data lake and cloud computing initiatives, many Netezza users are exploring various growth options.

Webinar

Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation

Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management,...

Webinar

Apache Spark Empowering the Real-time, Data Driven Enterprise: The De Facto Choice for Stream Processing and Machine Learning

Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and...

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.

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Blog

08/16/2018

New Approaches to Real-time Anomaly Detection for Streaming Data

Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains. Be it detecting roaming abuse and service disruptions...

Blog

06/26/2018

Impetus Technologies at San Jose DataWorks Summit 2018

Thousands of data professionals descended on San Jose, California from June 17 – 21 for DataWorks Summit 2018. This year’s event witnessed more than 150 breakout sessions and...

Blog

05/31/2018

StreamAnalytix to demonstrate Apache Spark-based real-time streaming analytics and machine learning capabilities at Spark + AI Summit, San Francisco

We are happy to announce that StreamAnalytix is a gold sponsor and exhibitor at Spark + AI Summit, to be held in San Francisco from June 04 – 08, 2018.

Blog

04/06/2018

Data Trends for 2018

Data is a powerful corporate asset that enterprises are now beginning to fully harness. Enterprises are looking to derive breakthrough value through investments in cloud-...

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...

Webinar

A blueprint for analytics and DW transformation to the cloud

Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...

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...

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...

Webinar

Keys to establish sustainable DW and Analytics on Cloud

Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...

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...

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...

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....

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...

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...

Webinar

Automate and Optimize DW Migration to Snowflake - Leverage existing EDW investments when moving to the Cloud

Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.

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 (...

Solution Brief

The data flow platform for ETL, analytics, and machine learning on the cloud

Visually build and deploy streaming and batch processing use cases rapidly, with the best-of-breed open source technologies, both on-premise and in the cloud.

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...

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....

White Paper

Getting Real Value from Real-Time Streaming Analytics

Enterprises and IoT applications can benefit immensely from real-time streaming analytics by visualizing the business in real-time, cutting preventable losses, detecting urgent...

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...