Case Study
A future-proof, centralized data warehouse with Snowflake on Azure
Data ingestion from complex sources like SAP Hana to create a single source of truth
Case Study
Powering one of the world’s fastest DNS service providers
Powering one of the world’s fastest DNS service providers
Oracle replaced with a scalable AWS solution resulting in 10x resolution capacity and 20x domain hosting capacity
Webinar
Modern cloud-based ETL – Trends, use cases, and solutions
Looking to replace legacy ETL with a cloud-based stack, but unsure about performance and cost in the new environment?
Webinar
Next-best-action marketing analytics
Learn how a Fortune 100 enterprise used automation for upselling and customer retention
Blog
Data ingestion and preparation with Snowflake on Azure
Snowflake is a popular cloud data warehouse choice for scalability, agility, cost-effectiveness, and a comprehensive range of data integration tools. Enterprises prefer Snowflake...
Webinar
Accelerate your journey from data to decisions - A Unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...
Solution Brief
Manage modern data platforms on cloud or on-premise with AI-driven DevOps
Learn how you can take advantage of our customized cloud services, innovative automation levers, advanced monitoring tools, and security best practices to seamlessly manage...
Solution Brief
Intelligent and automated transformation of your enterprise data warehouse to Google Cloud Platform (GCP)
As a modern cloud platform, GCP empowers enterprises with improved scalability, greater elasticity, and reduced costs. However, the modernization journey can be time-consuming and...
Case Study
Enabled 2x faster application deployment with AWS Kubernetes
Digital customer journey experience company reduced bootstrap time significantly
Webinar
A leading bank's analytics transformation journey to the cloud
Embracing the right approach and best practices for a seamless transition
The banking industry has been leveraging the cloud for its unmatched scalability, elasticity, and...
Blog
A holistic approach to securing data in a cloud-based data lake
Data-driven decision-making is a key driver for enterprises in their digital transformation journey. Businesses are now switching to scalable, unified data storage repositories...
Blog
StreamAnalytix 4.4.0 release – Powerful enhancements for ETL workload transformation, CDC, Google Cloud support, and more
The latest release of Impetus’ self-service data and analytics platform, StreamAnalytix, offers a host of power-packed updates aimed at empowering users with greater speed,...
Webinar
The fastest way to convert ETL, analytics, and data warehouse to AWS
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Solution Brief
Build a high-performing data ecosystem for ETL, ML, and BI — Accelerated and Unified
Transform the decision-making capabilities of your business with accelerated insights from all your data. Our end-to-end solution helps you build a single, integrated pipeline to...
Blog
Enabling a unified data storage architecture through data lakes, warehouses, and marts
Enterprises across industries are looking for a scalable, flexible, and adaptable data storage solution that supports a multitude of use cases, delivers real-time insights, and...
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.
- ‹ previous
- 2 of 8
- next ›
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,...
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...
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
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
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 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.
- ‹ previous
- 2 of 3
- next ›
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...
- ‹ previous
- 2 of 2
Oops.. no record found.
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,...
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...
- ‹ previous
- 2 of 2
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 the cloud 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 data flow and analytics platform that makes it possible to rapidly build and deploy data analytics and machine learning...
Blog
10/31/2018
Migrating Workloads from Netezza to on-premise/cloud : 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 open source landscape has evolved.
Organizations today have access to a whole gamut of tools for processing massive amounts of data quickly and efficiently. Among...
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.
- ‹ previous
- 2 of 3
- next ›
Webinar
Transform data and workloads to the cloud with over 80% automation
Cloud providers like AWS, GCP, and Azure deliver next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
The fastest way to convert ETL, analytics, and data warehouse to AWS
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
Accelerate your journey from data to decisions - A unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...
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.
Solution Brief
Automated Migration of Teradata ETL and EDW to Cloud
Enterprises with significant investments in Teradata have been missing the cost and flexibility advantages of a modern big data architecture. To make the move, enterprises need to...
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...
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
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.
Webinar
Formulating an effective strategy to accelerate your cloud journey
The agile nature of the cloud helps enterprises to meet increased capacity requirements, rapidly deploy new solutions, and become more responsive to market changes. An effective...
Webinar
Simplify Spark-based ETL workflows on the cloud
Learn how you can visually design and manage Spark-based workflows by using StreamAnalytix on popular cloud platforms like AWS, Azure, and Databricks.
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.
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...
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...
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 (...
- ‹ previous
- 2 of 7
- next ›
