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Impetus Technologies' Visual Big Data Analytics Platform for Apache Spark Now Available on the AWS Marketplace

Impetus' StreamAnalytix makes it possible to rapidly build and run stream processing and machine learning applications that make the real-time enterprise a reality

Impetus Technologies is a big data software and services company. (PRNewsfoto/Impetus Technologies)

News provided by

Impetus Technologies

Dec 03, 2018, 08:00 ET

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LAS GATOS, Calif., Dec. 3, 2018 /PRNewswire/ -- Impetus Technologies, a big data software products and services company, today announced that StreamAnalytix, a powerful visual big data analytics platform that makes it possible to rapidly build and deploy machine learning and stream processing applications with Apache Spark, is now available on the Amazon Web Services (AWS) Marketplace. StreamAnalytix makes the real-time enterprise possible and radically changes how business is done by empowering organizations to act on data as it originates.

Used by numerous Fortune 100 companies, StreamAnalytix is an enterprise-grade platform designed to simplify and enhance the use of Apache Spark - increasingly the de facto standard for stream processing and machine learning applications. StreamAnalytix offers an intuitive visual interface that enables you to rapidly build and operationalize Apache Spark applications for end to end data processing, from data ingestion, data preparation, to advanced analytics and machine learning.

Data scientists, developers, business analysts and DevOps specialists excel with the extensive data manipulation capabilities inherent in StreamAnalytix. The integrated visual development environment (IDE) and drag-and-drop functionality makes it easy to create Spark pipelines and applications that enable both Spark experts as well enthusiasts to build enterprise grade big data applications for a wide range of use cases. Some of these include the ability to create communications with in-the-moment relevancy for multi-channel customers, anomaly detection and transaction analysis to prevent fraud, operational intelligence and real-time use of streaming data from connected devices that comprise the internet of things.

"Cloud computing has witnessed massive growth over the years and is still gaining clout. In our conversations with prospects, customers and partners, it is clear to us that enterprises are relying more and more on cloud services to handle their data workloads," said Punit Shah, the Lead Solutions Architect for StreamAnalytix at Impetus Technologies. "In response to this shift, StreamAnalytix has been cloud ready for a while, with deployment options available for both AWS and Azure. Now, the official launch on AWS marketplace further cements our focus on providing a robust cloud ecosystem for StreamAnalytix enterprise users."

StreamAnalytix on AWS provides you the flexibility to work with any number of Spark nodes in a pay per use model. It is completely AWS optimized and supports deployment via cloud formation templates and is available on several different EC2 instance options, that can be chosen depending on the end user needs. StreamAnalytix is available in two tiers− option 1 is a free to use, single node version that offers you a full range of data processing and analytics functionality to build, test and run Apache Spark applications on any single node. Option 2 is the full-scale enterprise edition that enables use of multiple Spark clusters, with no limit to the number of connected nodes.

Some of the many technical features associated with StreamAnalytix include:

  • End to end data processing with Apache Spark− a unified platform for data ingestion, data cleansing, blending, enrichment and transformation, advanced analytics and machine learning, action triggers, and data visualization.
  • Click + Code: Users benefit from a rich array of drag-and-drop operators in an intuitive visual development environment. StreamAnalytix also makes it easy to introduce custom logic or write their own functionality in the language of choice - including Java, Python, Scala and SQL.
  • Ingest, blend and store both batch and streaming data: StreamAnalytix includes built-in connectors for Apache Kafka, Amazon S3, Elasticsearch, Apache HBase, Apache Hive and many more. It also fully supports popular data formats, like JSON, CSV, AVRO, and Apache Parquet.
  • Strong Data Science Enablement: The platform makes it easy to build, train, calibrate, deploy and monitor machine learning models on both batch and real-time data, with use of built-in operators like Spark MLlib, Spark ML, PMML, H2O and TensorFlow.
  • Support Existing Investments and Enhancements: StreamAnalytix fully supports Apache Spark streaming, Apache Spark 2.2 and Apache Hadoop 2.7.3.

CIOs, data scientists, developers and business and operational professionals who are interested in learning how they can use their organization's data to achieve maximum business impact are also invited to learn more about StreamAnalytix, and how many of the world's most successful companies across industries use it, by visiting StreamAnalytix.com.

About Impetus Technologies
Impetus Technologies is a software products and services company that exists to create powerful and intelligent enterprises through deep data awareness, data integration and advanced data analytics. Impetus products and services are designed to empower the real-time data driven enterprise to help clients compete and win in the modern world of digital transformation. Impetus is proud to partner with such Fortune 100 clients as American Express, Bank of America, Capital One, Fannie Mae, McKesson, Toyota, United Airlines, Verizon and more. The company is headquartered in Los Gatos, California with international offices in India, Australia and Canada. To learn more, visit: www.impetus.com or write to: [email protected], and follow us on Twitter: https://twitter.com/impetustech and LinkedIn: https://www.linkedin.com/company/impetus.

Media Contact:
Brianna Bruinsma
LEWIS Global Communications on behalf of Impetus
619.308.5220
[email protected]

SOURCE Impetus Technologies

Related Links

http://www.impetus.com

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