Building Real-time Streaming Apps in MinutesFast 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 analysisSpeaker:

Anand Venugopal- Product Head, StreamAnalytix

Register HereImpetus Technologies, Inc. - 720 University Avenue, Suite 130 ,Los Gatos, CA 95032, USA