Resources

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.

Blog

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

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

E-Book

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

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

Webinar

A blueprint for analytics and DW transformation to the cloud

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

Data Sheet

Rearchitect your legacy workloads to AWS

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

Case Study

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

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

Blog

5 building blocks of security and governance on AWS Cloud

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

Case Study

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

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

Blog

Modernize your ETL processes with StreamAnalytix

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

Webinar

Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix

Most enterprises are undertaking a digital transformation initiative. Data and analytics modernization is an integral part of this journey. On-premise legacy systems like Hadoop...

White Paper

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...

Blog

Top 10 Lessons Learned: Analytics Transformation to the Cloud

According to the Cisco Global Cloud Index, 94 percent of compute instances and workloads will be processed in the cloud data centers by 2021. Enterprises are eager to take...

Webinar

Building a mature foundation for life in the cloud

While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental...

Webinar

EDW Migration Dilemma - Migrating As-Is or Total Re-engineering

Enterprises moving their legacy workloads to on-premise/cloud modern data platforms have been facing the dilemma of deciding between migrating as-is and total re-engineering....

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.

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

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...

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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...

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.

Blog

04/06/2018

Data Trends for 2018

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

Blog

02/12/2018

Low-code Application Development Can Drive Higher Apache Spark Adoption in the Enterprise

Apache Spark adoption is growing but the complexities remain
Apache Spark has moved beyond the early-adopter phase and is now mainstream. Large data-driven enterprises...

Blog

11/14/2017

StreamAnalytix Lite, a Visual IDE to Build, Test and Run Apache Spark Applications on Your Desktop for Free

Apache Spark is one of the most popular unified analytics engines for data processing today. It has moved beyond the early-adopter phase and is now mainstream in large data-...

Blog

08/30/2017

Aragon Research Recognizes StreamAnalytix as One of Four 2017 Hot Vendors in the Streaming Analytics Space

Every time an independent research firm identifies StreamAnalytix as a leading platform in the increasingly competitive space of streaming analytics, it is an exciting moment...

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

A leading bank's analytics transformation journey to the cloud

Embracing the right approach and best practices for a seamless transition

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

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

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

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

Webinar

Anomaly Detection with Machine Learning at Scale

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

Solution Brief

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?