Data Analysis and Visualization of Twitter data for Korean President Election in 2017 using ElasticSearch and Hadoop Spark

1. Jongwook Woo
HiPIC
CalStateLA
Seoul Elasticsearch Community Meetup
Gangnam, Korea
Aug 10 2017
Jongwook Woo, PhD, jwoo5@calstatela.edu
High-Performance Information Computing Center (HiPIC)
California State University Los Angeles
Data Collection and
Visualization using Big Data:
President Election 2017 in
Korea

2. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Contents
 Myself
 Introduction To Big Data
 Architecture
 Demo

3. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Myself
Experience:
 Since 2002, Professor at California State University Los Angeles
– PhD in 2001: Computer Science and Engineering at USC
 Since Jan 2016 : Co-Founder of The Big Link LLC and Wiken
 Since 1998: R&D consulting in Hollywood
– Warner Bros (Matrix online game), E!, citysearch.com, ARM 등
– Information Search and Integration with FAST, Lucene/Solr, Sphinx
– implements eBusiness applications using J2EE and middleware
 Since 2007: Exposed to Big Data at CitySearch.com
 2012 - Present : Big Data Academic Partnerships
– For Big Data research and training
• Amazon AWS, MicroSoft Azure, IBM Bluemix
• Databricks, Hadoop vendors

4. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Experience (Cont’d): Bring in Big Data R&D and training to
Korea since 2009
Collaborating with LA city since 2016
– Collect, Search, and Analyze City Data
• Spark, Hadoop, ElasticSearch, Solr, Java, Cloudera
Sept 2013: Samsung Advanced Technology Training Institute
Since 2008
– Introduce Hadoop Big Data and education to Univ and Research Centers
• Yonsei, Gachon, DongEui
• US: USC, Pennsylvania State Univ, University of Maryland College Park, Univ of Bridgeport, Louisiana
State Univ, California State Univ LB
• Europe: Univ of Luxembourg
Myself

5. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Experience in Big Data
 Collaboration
 Council Member of IBM Spark Technology Center
 City of Los Angeles for OpenHub and Open Data
 Startup Companies in Los Angeles
 External Collaborator and Advisor in Big Data
– IMSC of USC
– Pennsylvania State University
– The Big Link, Softzen, Wiken in Korea
 Grants and Awards
 Faculty Scholarship Winner of Teradata University Network 2017
 IBM Bluemix , MicroSoft Windows Azure, Amazon AWS in Research and Education Grant
 Partnership
 Academic Education Partnership with Databricks, Tableau, Qlik, Cloudera, Hortonworks, SAS,
Teradata

6. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Contents
 Myself
 Introduction To Big Data
Architecture
 Demo

7. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Two Cores in Big Data
How to store Big Data
How to compute Big Data
Google
How to store Big Data
– GFS
– Distributed Systems on non-expensive commodity computers
How to compute Big Data
– MapReduce
– Parallel Computing with non-expensive computers
Own super computers
Published papers in 2003, 2004

8. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Definition: Big Data
Non-expensive frameworks that is distributed parallel systems
and that can store a large scale data and process it in parallel [1,
2]
Hadoop and Spark
– Non-expensive Super Computer
– More public than the traditional super computers
• You can store and process your applications
– In your university labs, small companies, research centers
Others
– Cloud Computing Big Data services
• Amazon AWS, IBM Bluemix, Microsoft Azure
– NoSQL DB (Cassandra, MongoDB, Redis, HBase)
– ElasticSearch

9. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Spark
In-Memory Data Computing
Faster than Hadoop MapReduce
Can integrate with Hadoop and its ecosystems
HDFS
 Amzon S3, HBase, Hive, Sequence files, Cassandra, ArcGIS, Couchbase…
New Programming with faster data sharing
Good
– Iterative graph algorithms, Machine Learning
Interactive query

10. High Performance Information Computing Center
Jongwook Woo
CalStateLA
ElasticSearch
Full Text Search and Visualization Server
Getting more popular than Solr
ElasticSearch, Kibana, ES-Hadoop, Logstash,…
Based on Apache Lucene library
Horizontally Scalable

11. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Elastic Stack
100% open source
No enterprise edition
All new versions with 5.0
ElasticSearch

12. High Performance Information Computing Center
Jongwook Woo
CalStateLA 12
ES-Hadoop
Elasticsearch for
Hadoop
• Exchange data between Hadoop HDFS and ElasticSearch
ElasticSearch

13. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Contents
 Myself
 Introduction To Big Data
 Architecture
 Demo

14. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Big Data Analysis Flow
Data Collection
Batch API: Yelp,
Google
Streaming: Twitter,
Apache NiFi, Kafka,
Storm
Open Data:
Government
Data Storage
HDFS, S3, Object Storage,
NoSQL DB (Couchbase)…
Data Filtering
Hive, Pig
Data Analysis and Science
Hive, Pig, Spark, BI Tools
(Datameer, Qlik, Tableau,…)
Data Visualization
Qlik, Datameer, Excel
PowerView

15. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Data Engineering
Data Source
Twitter streaming API
– using the keywords
• "문재인","moonriver365", "안철수", "cheolsoo0919", "유승민", "yooseongmin2017",
"홍준표", "HongSkyangel808", "심상정", "sangjungsim“
– Roughly: April 28 2017 – May 11 2017
Data Collection
Apache Nifi for streaming data
– supports powerful and scalable directed graphs
• data routing, transformation, and system mediation logic
Data Storage
ElasticSearch
Hadoop HDFS at Azure

16. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Data Engineering (Cont’d)
Data Analysis and Prediction: In the future
Spark ML, Spark SQL, Hadoop Hive
Data Visualization
Kibana in ElasticSearch

17. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Apache NiFi
• NiFi-1.1.2: getTwitter, putElasticSearch5, putHDFS

18. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Hadoop Spark Cluster: HDInsight in Azure
vCores Memory Local SSD
(GB) (GB)
4 28 200

19. High Performance Information Computing Center
Jongwook Woo
CalStateLA
ElasticSearch in HDInsights
Did not launch ElasticSearch Service in Azure
Instead, install ES5 in Linux Head Node of HDInsights
cluster
–ElasticSearch
• 5.3.1
–Kibana
• 5.3.2

20. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Mapping to ES
Temp-Spatial Analysis
 For matching the Twitter date format to ES
curl -XPUT localhost:9200/_template/elect17 -d '
{
"template" : "elect17*",
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"default" : {
"properties" : {
"created_at" : {
"type" : "date",
"format" : "EEE MMM dd HH:mm:ss Z YYYY"
},

21. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Mapping to ES (Cont’d)
"coordinates" : {
"properties" : {
"coordinates" : {
"type" : "geo_point"
},
"type" : {
"type" : "string"
}
}
},
"user" : {
"properties" : {
"screen_name" : {
"type" : "string",
"index" : "not_analyzed"
},

22. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Mapping to ES (Cont’d)
"lang" : {
"type" : "string",
"index" : "not_analyzed"
}
}
}
}
}
}
}'

23. High Performance Information Computing Center
Jongwook Woo
CalStateLA
K-Election 2017
(April 29 – May 9)

24. High Performance Information Computing Center
Jongwook Woo
CalStateLA
K-Election 2017
(April 29 – May 9)

25. High Performance Information Computing Center
Jongwook Woo
CalStateLA
ES-Hadoop
 Install ES-Hadoop
$ wget -P /tmp http://download.elastic.co/hadoop/elasticsearch-
hadoop-5.3.1.zip
$ unzip /tmp/elasticsearch-hadoop-5.3.1.zip -d /tmp
$ cp /tmp/elasticsearch-hadoop-5.3.1/dist/elasticsearch-hadoop-
5.3.1.jar /tmp/elasticsearch-hadoop-5.3.1.jar
$ hdfs dfs -copyFromLocal /tmp/elasticsearch-hadoop-
5.3.1/dist/elasticsearch-hadoop-5.3.1.jar /tmp
$ sudo cp elasticsearch-spark-20_2.11-5.3.1.jar
/usr/hdp/current/spark2-client/

26. High Performance Information Computing Center
Jongwook Woo
CalStateLA
ES-Hadoop (Cont’d)
 Add ES-Hadoop libraries to Hive with one of the
followings:
$ hive
hive> add jar hdfs:///tmp/elasticsearch-hadoop-5.3.1.jar
hive> add jar /tmp/elasticsearch-hadoop-5.3.1.jar
hive> add jar file:///tmp/elasticsearch-hadoop-5.3.1.jar
hive > list jar ;
file:///tmp/elasticsearch-hadoop-5.3.1.jar

27. High Performance Information Computing Center
Jongwook Woo
CalStateLA
ES-Hadoop (Cont’d)
hive> select * from elect17_test LIMIT 10;
OK
856281525070909440 NULL NULL NULL NULL RT @sydbris:
이 정도는 우리 문재인 후보님이 절대 말씀하시지 않겠지.
"넌 내가 유신 반대투쟁하고 민주화운동할 때 친구들이랑 고대 앞
하숙방에 모여서 xx 모의했냐?" Sun Apr 23 22:59:59 +0000 2017
856281524995407872 NULL NULL NULL NULL RT
@choomiae: 존경하는 시흥시민 여러분!
…

28. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Contents
 Myself
 Introduction To Big Data
 Architecture
 Demo

29. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Demo
Azure Portal
Ubuntu VM
ElasticSearch
NiFi
Kibana: April 29 – May 10
Hive with ES-Hadoop
Test with the data on April 23 – April 24

30. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Spark Big Data Training and R&D
HiPIC
California State University Los Angeles
Supported by
– Databricks and its cloud computing services
– Amazon AWS, IBM Buemix, MS Azure
– Hortonworks, Cloudera
– Teradata
– ElasticSearch
– Qlik, Tableau

31. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Databricks Partners

32. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Training Hadoop and Spark
Cloudera visits to interview Jongwook Woo

33. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Training Hadoop on IBM Bluemix at
California State Univ. Los Angeles

34. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Conclusion
K-Elect 2017 in ES5 and HDInsights
ES5
Easy to collect and visualize
HDInsights
Data and Predict Analysis possible

35. High Performance Information Computing Center
Jongwook Woo
CalStateLA
Question?

36. High Performance Information Computing Center
Jongwook Woo
CalStateLA
References
1. “Market Basket Analysis Algorithm with Map/Reduce of
Cloud Computing”, Jongwook Woo and Yuhang Xu, The 2011
international Conference on Parallel and Distributed
Processing Techniques and Applications (PDPTA 2011), Las
Vegas (July 18-21, 2011)
2. Jongwook Woo, DMKD-00150, “Market Basket Analysis
Algorithms with MapReduce”, Wiley Interdisciplinary
Reviews Data Mining and Knowledge Discovery, Oct 28 2013,
Volume 3, Issue 6, pp445-452, ISSN 1942-4795
3. Jongwook Woo, “Big Data Trend and Open Data”, UKC 2016,
Dallas, TX, Aug 12 2016

37. High Performance Information Computing Center
Jongwook Woo
CalStateLA
4. Business Data Analysis LA at Databricks, HiPIC of CalStateLA, Jongwook
Woo https://docs.databricks.com/spark/latest/training/cal-state-la-
biz-data-la.html
5. https://github.com/hipic/spark_mba, HiPIC of California State
University Los Angeles
6. Hadoop, http://hadoop.apache.org
7. Databricks, http://www.databricks.com
8. DS320: DataStax Enterprise Analytics with Spark
9. Cloudera, http://www.cloudera.com
10.Hortonworks, http://www.hortonworks.com
References (Cont’d)