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...
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...
White Paper
Transforming Ab Initio ETL workloads to Spark or Cloud
Leading companies across sectors from telecommunications, insurance, and finance to healthcare, retail, e-commerce, and others have been using Ab Initio to solve the most complex...
Case Study
A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months
Released 20% capacity and reduced 40% TCO using automation for end-to-end transformation and validation
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
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...
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
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
Telecom giant saves millions with Teradata transformation to big data
Offloaded 100s of terabytes and 1000+ tables
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
Implementing a Hadoop data lake on Cloudera cluster led to a 6% increase in customer acquisition
A Global Fortune 500 Telecom provider increased net new and upgraded conversions for omnichannel data by replacing the existing analytics model with cost-effective big data-based...
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 analyze 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
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.
Case Study
Leading US Telecom company saves 5 Million annually with a New Agent Monitoring System
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...
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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
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
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
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
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
Accelerate Your Journey from Netezza to a Big 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 Big 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
The promise of big data is greater than ever before due to an explosion in the number and variety of data sources.
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...
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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...
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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...
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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...
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
Big 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 big data frameworks today. It has moved beyond the early-adopter phase and is now mainstream in large data-driven enterprises. Our...
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...
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White Paper
Transforming Ab Initio ETL workloads to Spark or Cloud
Leading companies across sectors from telecommunications, insurance, and finance to healthcare, retail, e-commerce, and others have been using Ab Initio to solve the most complex...
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
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...
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 (...
Data Sheet
StreamAnalytix Platform Overview
StreamAnalytix™ enables enterprises to analyze and respond to events in real-time at big data scale using stream processing and machine learning. With support for Apache Storm and...
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...
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 by Inside BIG DATA explores the genesis of streaming...
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....
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