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
EDW to Snowflake cloud data warehouse transformation: An automated approach
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...
Case Study
A telecom giant saved 50% project cost with automated Teradata to Hadoop transformation
A US-based wireless communications service provider freed up 20% of their Teradata capacity and saved 50% project cost by accelerating Teradata to Hadoop transformation.
Case Study
Automated Teradata to Big Data Transformation
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
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.
Case Study
Centralized data lake on AWS enabled 60% reduction in infrastructure cost
A leader in performance-based business-to-business growth solutions optimized their infrastructure cost by 60% and improved application performance by re-architecting their...
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
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...
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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....
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.
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
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.
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White Paper
EDW to Snowflake cloud data warehouse transformation: An automated approach
Traditional data warehouses are constrained by performance, scalability, and elasticity issues. Enterprises are increasingly moving to the next-generation cloud data warehouses...
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
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
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 extract,...
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
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
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
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
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
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
Real-Time Streaming Analytics
Here is a one stop source for all that you wanted to learn about real-time streaming analytics.
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
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
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
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...
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...
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
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
Automated SAS Workload Transformation to the 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-...
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-...
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
Automated EDW 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...
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
A telecom giant saved 50% project cost with automated Teradata to Hadoop transformation
A US-based wireless communications service provider freed up 20% of their Teradata capacity and saved 50% project cost by accelerating Teradata to Hadoop transformation.
Case Study
Centralized data lake on AWS enabled 60% reduction in infrastructure cost
A leader in performance-based business-to-business growth solutions optimized their infrastructure cost by 60% and improved application performance by re-architecting their...
Case Study
Automated Teradata to Big Data Transformation
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...
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
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
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
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
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...
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
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
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...
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...
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