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Building Real-time Streaming Apps in Minutes
Fast and Easy Experimentation on Apache Storm
May 29, 2015 (10 am PT / 1 pm ET) | Duration: 45 mins
2015 is witnessing many enterprises wanting to catch up on initiatives for turning Big Data into
Business Insights, and early starters wanting to go beyond Hadoop with Real-time streaming,
in-memory, and advance analytics (machine learning etc). Firms will deploy and exploit real-
time streaming application platforms to fail fast as they experiment with emerging high velocity
use cases like Internet of Things and Customer Engagement Analytics.
Data science teams and app developers need visual rapid development tools to create real-
time streaming applications, without having to write Apache Storm / Spark code.
This 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 powerful
blend of both offline and real-time Analytics.
During this webinar you will receive:
• Drivers of Modern Enterprise Data Architecture
• A converged Architecture Blue print
• An overview of a powerful real-time streaming analytics platform for rapid app
development on Apache Storm
• A demo of a practical implementation of Lambda architecture in Social Media Analytics
involving batch and real-time analysis
Speaker:
Anand Venugopal- Product Head, StreamAnalytix
Register Here
Impetus Technologies, Inc. - 720 University Avenue, Suite 130 ,Los Gatos, CA 95032, USA

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