Resources

Webinar

Keys to establish sustainable DW and Analytics on 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

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 (...

Data Sheet

StreamAnalytix Platform Overview

StreamAnalytix™ enables enterprises to analyse and respond to events in real-time at big data scale using stream processing and machine learning. With support for Apache Storm and...

Case Study

Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a...

Case Study

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options. This leading...

Case Study

Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix

Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor...

Case Study

Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix

Airlines today have access to a wealth of customer data. The ability to analyze this data in real-time can lead to revenue enhancement and effective customer experience management...

Case Study

A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix

Call centers process millions of minutes of calls per day across vast distributed networks around the globe. Real-time monitoring of the IVR system can be a challenge considering...

Case Study

Hyper-Scale Data Processing and Storage Using StreamAnalytix

Real-time analytics on streaming data can help enterprises offer contextual customer interactions in the moment and drive operational efficiency. Impetus conceived and...

Case Study

Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data. The platform enabled:

Case Study

StreamAnalytix Created $5 Million Annual Savings with a New Agent Monitoring System Leading Wireless & Telecom Services Provider

Real-time monitoring is a far more effective way to track agent performance in contact centers than analyzing a small sample of randomly collected calls. A leading, US based,...

Webinar

Anomaly Detection with Machine Learning at Scale (India)

Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...

Solution Brief

Automate Your Transformation Journey from EDW to Snowflake

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.

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

Impetus Technologies’ 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....

Webinar

Keys to establish sustainable DW and Analytics on 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,...

Webinar

Anomaly Detection with Machine Learning at Scale (India)

Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...

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...

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...

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 ‘...

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.

Webinar

Solving the EDW Transformation Conundrum

Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the...

Webinar

Planning your Next-Gen Change Data Capture (CDC) Architecture in 2019

Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing.

Webinar

EDW Transformation - A Retrospective and Outlook

The enterprise data warehouse (EDW) has been the heart of decision support for more than two decades. But the game has now changed. The new age of advanced data analytics is...

Webinar

Transforming Real-time Customer 360 with Apache Spark

Enterprises have realized that a consistent, complete and real-time view of customers across systems and channels is the key to transform the customer experience. However,...

Webinar

Streaming Architecture: Top Ten Requirements To Evolve To A Real-time Enterprise

Streaming data ingestion, ETL, and integration along with real-time machine learning are becoming more and more critical capabilities as enterprises look to create and monetize...

Webinar

Operationalizing Enterprise 360 - Create a Single Source of Truth

Complex and fragmented data systems make it challenging to define a 'single source of truth' for data that provides a comprehensive single view of the enterprise. Enterprises are...

Webinar

Apache Spark: The New Enterprise Backbone for ETL, Batch and Real-time Streaming

In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and...

Webinar

Analyst Webinar: Is the Traditional Data Warehouse Dead?

There has been a steady drumbeat in some quarters that the traditional data warehouse is dead, even though it is a fixture at most organizations. Some insist it is too slow and...

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

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...

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.

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

Impetus Technologies’ 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...

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...

White Paper

Automated Workload Transformation to Cloud: The Future-proof Approach

Enterprises have been dependent on traditional data warehouses to ingest, model, and store data for ages. In a typical IT environment, conventional data warehouses would deploy,...

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 (...

Data Sheet

StreamAnalytix Platform Overview

StreamAnalytix™ enables enterprises to analyse and respond to events in real-time at big data scale using stream processing and machine learning. With support for Apache Storm and...

Solution Brief

Automate Your Transformation Journey from EDW to Snowflake

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....

Data Sheet

Transform Your Legacy Workloads to Azure. Automagically.

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-...

Data Sheet

Automated SAS Workload Transformation to Cloud

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-...

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

ASSESSMENT: Your First Step Towards a Modern Big Data Warehouse

Ever-increasing data volumes are fast outgrowing existing data warehouses. Enterprises are looking at offloading data and processing to a big data environment to address the...

Data Sheet

Transform Your Warehouse

Automagical Transformation to Big Data Need to transform your data from legacy data warehouse (EDW) to the data lake? It can be complicated, time-consuming, error-prone and...

Case Study

Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a...

Case Study

Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix

Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options. This leading...

Case Study

Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix

Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor...

Case Study

Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix

Airlines today have access to a wealth of customer data. The ability to analyze this data in real-time can lead to revenue enhancement and effective customer experience management...

Case Study

A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix

Call centers process millions of minutes of calls per day across vast distributed networks around the globe. Real-time monitoring of the IVR system can be a challenge considering...

Case Study

Hyper-Scale Data Processing and Storage Using StreamAnalytix

Real-time analytics on streaming data can help enterprises offer contextual customer interactions in the moment and drive operational efficiency. Impetus conceived and...

Case Study

Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix

StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data. The platform enabled:

Case Study

StreamAnalytix Created $5 Million Annual Savings with a New Agent Monitoring System Leading Wireless & Telecom Services Provider

Real-time monitoring is a far more effective way to track agent performance in contact centers than analyzing a small sample of randomly collected calls. A leading, US based,...

Case Study

Teradata Cost Optimization by Transforming Batch and Ad hoc Workloads to Hadoop

Reduce Costs with Data Transformation Impetus helped a U.S.-based multinational retail chain optimize their data warehouse architecture and reduce the current cost of enterprise...

Case Study

Automated Translation of Complex Netezza Procedures to Hadoop

Cost-Effective Workload Transformation Impetus helped a leading cable service provider minimize data and workload transformation cost with tool-based transformation. The solution...

Case Study

Automated Workload Transformation from Netezza to Big Data

A major cable company needed to offload its Netezza workloads completely. Impetus helped them do it by transforming to a Hadoop-based storage and retrieval solution. Learn how the...

Case Study

Automated Netezza to Cloud Transformation

A government-sponsored enterprise in the mortgage business needed to move to a modern data lake-based architecture. Impetus helped them transition away from Netezza and to the...

Blog

09/03/2019

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

09/02/2019

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...

Blog

08/08/2019

Is hybrid cloud the future of data warehouse modernization?

The need for digital transformation is compelling enterprises to move from traditional data warehouses to the cloud. Gartner  estimates that the worldwide public cloud services...

Blog

08/07/2019

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...

Blog

06/25/2019

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.

Blog

03/18/2019

Real-time analysis of weather impact on New York City taxi trips in minutes using StreamAnalytix

In this post, we will see how easy it is read data from a streaming source, apply data transformations, enrich data with external data sources and create real-time alerts in...

Blog

03/15/2019

11 points to consider for a solid EDW transformation strategy

Making the move from EDW to big data can be daunting. A thorough understanding of requirements, possible scenarios, and processes is crucial to ensure a smooth transition....

Blog

02/20/2019

Bloor Research lists StreamAnalytix as a key challenger in their 2018 market update report on streaming analytics

“StreamAnalytix provides an excellent solution for streaming analytics that combines the strengths of open source with the reliability, manageability, and support of an...

Blog

01/22/2019

Five Important Movements in the Data Analytics Landscape in 2019

Business is booming in the data industry. Investments have grown exponentially in recent years and according to industry experts, the trend is expected to continue. As data...

Blog

01/07/2019

Why Apache Spark is the right way to get a real-time customer 360 view for your business

A survey by Bain & Co. reveals that more than 89% of organizations believe that customer service plays a critical role in staying ahead of the competition. The key to...

Blog

12/25/2018

Move away from batch ETL with next-gen Change Data Capture

As data volumes continue to grow, enterprises are constantly looking for ways to reduce processing time and expedite insight extraction. However, with traditional databases and...

Blog

12/13/2018

How modern data science is transforming anomaly detection

Real-time anomaly detection has applications across industries. From network traffic management to predictive healthcare and energy monitoring, detecting anomalous patterns in...

Blog

12/05/2018

StreamAnalytix For Rapid Apache Spark Application Development, Now Available on AWS Marketplace

We are happy to announce that StreamAnalytix, a visual big data analytics platform that makes it possible to rapidly build and deploy big data analytics and machine learning...

Blog

10/31/2018

Migrating Workloads from Netezza to Big Data: An Automated Approach

Manual migration can be complicated. Niche technologies, human error, lengthy assessment phases, testing, validation, execution, and the migration itself – these all contribute...

Blog

10/15/2018

Five Things to Consider Before Performing a Workload Migration

Legacy data warehouse transformation is complicated and risky.  A successful migration requires a detailed evaluation on multiple parameters – including queries, tables, sub-...

Blog

09/05/2018

Impetus Technologies at Strata Data Conference 2018

The most awaited data analytics event of the year — Strata Data Conference kicks off tomorrow.

Blog

08/29/2018

Why Apache Spark is the Antidote to Multi-Vendor Data Processing

The big data open source landscape has evolved.
Organizations today have access to a whole gamut of tools for processing massive amounts of data quickly and efficiently....

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...