Streaming join & lesson 4.

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The document discusses a presentation on real-time analytics using Apache Storm. It covers basic Storm theory and setup, using Twitter streams with Storm, practices building streaming joins and exclamation topologies, and concludes with discussing student project teams analyzing sentiment, geography, ebola topics, and their use of tools like OpenCV.

Technology

Real-Time Analytics
with Apache Storm
Tae-woo Kim
tu_k@naver.com
1

The Progress of Study
1. Theory, Setup and Basic Storm
2. Storm with Twitter Streams
3. Beyond Storm Basics
4. Storm Project and Hackathon
2

Practice 3. Streaming Join
3
MyNamesSpout
MyLikesSpout
ExclamationBolt

5
Practice 3-1. Exclamation
Topology
“my-names”
“my-likes”
“exclaim1” “exclaim2” “report-bolt”
Componet ID로 데이터 스트림을 구분

Team A
9
Sentimental Analysis
+
Geography

Team B
10
Ebola Sorted Topics
Critical Issues

Plan of Study
1. Real-Time Analysis with Apache Storm
2. Open CV
13

This document summarizes a study on real-time analytics using Apache Storm. It outlines four parts to the study: 1) learning the theory, setup, and basics of Storm, 2) using Storm with Twitter streams, 3) going beyond basic Storm concepts with an example join, and 4) participating in a Storm project and hackathon. It then describes two practices - parsing tweet URLs and tracking top hashtags - to demonstrate Storm's use for real-time analytics on Twitter data streams.

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