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Date(s) - 07/29/2014
6:30 pm - 9:00 pm


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Join IBM and Jeskell Systems LLC on Tuesday, July 29th at 6:30 pm to learn about, β€œText-Analytics and Visualization using IBM Big Data Technologies”

Have you ever wondered what your customers are saying about you in Social Media, and the impact it might have on your day to day operations? How about enhancing Public Safety by empowering first responders with near-real time information in the context of fire, floods and other natural disasters.

As enterprises seek to gain operational efficiencies and competitive advantage through greater use of analytics, much of the new information they need to analyze is found in text documents, increasingly, in a wide variety of social media sites and portals.

During this meet-up, we will demonstrate two major Hadoop components:

β€’ Text Analytics in Hadoop powered by Annotator Query Language (AQL). AQL is a powerful declarative, rule-based language for the extraction of information from text documents.

β€’ Spreadsheet for Hadoop powered by BigSheets. BigSheets is a unique visualization and analysis tool designed to quickly build and publish charts and graphs for Big Data Applications.

We will have several demos. The demos will show you how you can store and analyze large volumes of current & historical social media and reference data. You’ll see how raw datasets can be ingested and analyzed in real time. This talk and demo will provide an introduction to Text-Analytics and BigSheets, and how it is used within the IBM Big Data platform.

This Meetup is FREE. Food and Beverages will also be provided.

6:00 – 6:30 PM – Registration

6:30 – 7:45 PM – Overview of IBM Big Data Platform and Accelerator for Social Data Analytics

7:45 – 8:00 PM – Demo of Election Analysis App on Mobile

8:00 – 8:15 PM – Break and Networking

Get a behind the scenes tour

8:00 – 8:15 PM – Text Analytics using AQL

8:15 – 8:30 PM – Visualize Data using BigSheets

8:30 – 8:45 PM – Q&A

1 comment on"Social Text-Analytics and Visualization using Hadoop & Streams Computing"

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