Resources

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...

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...

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...

Case Study

Telecom giant saves millions with automated Teradata transformation to data modern data platform

Released 20% Teradata capacity by migrating 1000 BTEQ scripts containing 16,000 queries, 750 mLoad, TPT, and FExp scripts

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...

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 (...

Blog

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

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...

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....

Blog

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...

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...

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-...

Blog

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.

Data Sheet

Transform Your Legacy Workloads to Azure.

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-...

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...

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 ‘...

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...

Blog

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

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

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 enterprise...

Reports

Eight Tips for Modernizing Your Data Warehouse Architecture

Modern Data Architecture Organizations are scrambling to learn how to leverage big data and its associated platforms. As a result, they are rethinking their data management...

Reports

Forrester Report on Data Warehouse Best Practices: The Next-Gen EDW Is the Big Data Warehouse

Big Data Warehouses Drive Faster, Integrated, Self-Service Analytics

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...

Webinar

The Business Impact of Fast Data Analytics

Data explosion has caused a shift from traditional structured, and batch or periodic data warehouse environments to a complex combination of structured, semi-structured,...

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...

Webinar

Harnessing the Firehose: Getting Business Value from Streaming Analytics

The Briefing Room with Dr. Robin Bloor, Dez Blanchfield and StreamAnalytix- Impetus Technologies

Webinar

Accelerating Data Warehouse Modernization with OLAP on Hadoop

This webinar presents a blue print for a Modern Data Warehouse that can make migrating from the EDW to Hadoop much less risky, and deliver faster, cost efficient analytics.

Webinar

How Real-time Streaming Analytics is Driving Business Value

Most analytics are currently performed on data at rest. However, the agile, responsive enterprise strategy of today requires the ability to address perpetually moving streams of...

Webinar

The Data WareHouse Modernization Series - Part 1: Critical Trends, Implementation Challenges and Solution Approaches

The introductory webinar of the series, it talks about implementing a logical path for a Data Warehouse Modernization end-to-end solution.

Webinar

Ahead of the Stream: How to Future-Proof Real-Time Streaming Analytics

The Briefing Room with Dr. Robin Bloor and StreamAnalytix- Impetus Technologies.

Webinar

Future-Proof Your Streaming Analytics Architecture

Join our guest speaker from Forrester and Anand Venugopal of Impetus Technologies for a discussion on the options and optimal architecture to incorporate real-time insights into...

Webinar

Building Real-time Streaming Apps in Minutes

The webinar will fulfil the aim of creating a Modern Enterprise Data Architecture to serve customers in real-time or near-real-time in a context-sensitive manner enabled by a...

Webinar

Real-world Applications of Streaming Analytics

This webinar will share insights into the use case, the solution architecture and the implementation in several current application projects.

Webinar

Real-Time Streaming Analytics for the Enterprise based on Apache Storm

The webinar will cover building a streaming analytics platform for enterprise, technology benchmarks and a demo of StreamAnalytix.

Webinar

NoSQL Landscape and a Solution to Polyglot Persistence

Consider the business opportunity and the technology need that various NoSQL databases can support.

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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...

Blog

05/08/2017

StreamAnalytix Spark Streaming Contest: Real-time Apps Built for Anomaly Detection with Apache Spark

At Impetus, we take data analytics innovation seriously. Very seriously. And one of the ways we continue to improve our software products and services, as well as retain our...

Blog

05/01/2017

Using StreamAnalytix to Calculate the Conversion Rate of a Website

Websites today are the cornerstone to drive business objectives and achieve revenue goals. Hence, business owners need to ask themselves the following questions:

Blog

07/22/2016

Experience the Power of Spark Streaming with StreamAnalytix Free Cloud Trial

Real-time Streaming Analytics Made Easy!
We are happy to announce the Cloud Trial of real- time streaming applications development platform, StreamAnalytix. We are...

Blog

03/30/2016

StreamAnalytix Releases 2.0 with support for Apache Spark Streaming

We feel proud to release StreamAnalytix 2.0 – the industry’s only multi-engine RTSA platform!
With a proven product based on Apache Storm, StreamAnalytix has taken a big...

Blog

12/24/2015

StreamAnalytix Releases Version 1.2

We’re happy to announce the release of StreamAnalytix 1.2!
In this release, we have taken a big leap towards developer enablement with the vision to minimize custom-...

Blog

08/25/2015

Experience StreamAnalytix in action first-hand and for free!

We are excited about making the power of StreamAnalytix available to a wide audience by way of our Free versions launch today. Click the download button to see what we have for...

Blog

04/01/2015

Streaming Data ETL with Impetus StreamAnalytix and Syncsort DMX – Guest Blog

Today we are announcing a partnership between Syncsort and Impetus Technologies, and our entry into an integration of batch processing and real-time stream processing that we...

Blog

02/06/2015

We have ARRIVED!

Hello World!
We have ARRIVED!
February 17, 2015 is a date that everyone at StreamAnalytix will treasure. It is the day when StreamAnalytix announced its General...

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....

White Paper

Harnessing IoT data in an always-connected world

As the Internet of Things generates incessant data, organizations need smarter and more efficient ways to manage and process fast-growing data volumes.

White Paper

Transforming customer 360 for the connected consumer

Massive volumes of customer data are being generated every second. To derive valuable insights from these real-time data streams, businesses must first be able to access a unified...

White Paper

Accelerate Apache Spark Development and Operations

Enterprises are increasingly adopting Spark for tasks ranging from ingestion, ETL, and data processing to advanced analytics and machine learning. But despite its growing...

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...

Data Sheet

Transform Your Legacy Workloads to Azure.

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-...

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...

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...

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...

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 ‘...

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-...

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.

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...

Reports

Eight Tips for Modernizing Your Data Warehouse Architecture

Modern Data Architecture Organizations are scrambling to learn how to leverage big data and its associated platforms. As a result, they are rethinking their data management...

Reports

Forrester Report on Data Warehouse Best Practices: The Next-Gen EDW Is the Big Data Warehouse

Big Data Warehouses Drive Faster, Integrated, Self-Service Analytics

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...

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,...