Mining public datasets using opensource tools: Zeppelin, Spark and Juju
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Mining Public Datasets Using Open Source Tools At scale & on a budget by Alexander
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Transcript of Mining public datasets using opensource tools: Zeppelin, Spark and Juju
Mining Public Datasets Using Open Source Tools
At scale & on a budget by Alexander
Software Engineer at NFLabs, Seoul, South Korea
Co-organizer of SeoulTech Society
Committer and PPMC member of Apache Zeppelin (Incubating)
@seoul_engineer
github.com/bzz
Alexander
IS DATA IMPORTANT?
Content Streaming Services
Taxi
Housing
Web Search
Kuaidi
OpenHouse
IoT
CONTEXT
Size of even Public Data is huge and growing
There could be more research, applications and data products build using that data
Quality and number of free tools available to public to crunch that data is constantly improving
Cloud brings affordable computations @ scale
PUBLIC DATA = OPPORTUNITY
AGENDA
Datasets
Tools
Scale and Budget
Datasets
Tools
Scale and Budget
• Internet archives• Web applications logs (wikipedia activity, github activity)• Genome• AdClicks• Webserver access logs • Network traffic• Scientific datasets• Images, Songs (Million Song Dataset)• Reviews, • Social media• Flight timetables• Taxis• n-gram language model
DATASETS
DATASETS
• 300Gb compressed• Collaboration google and github engineers• Events on PR, repo, issues, comments in JSON
http://githubarchive.org
http://www.commitlogsfromlastnight.com/
http://sideeffect.kr/popularconvention/
https://www.gitlive.net/
Common Crawl
https://commoncrawl.org
Nonprofit, by Factual
On AWS S3 in WARC, WAT, formatssince 2013, monthly: ~150Tb compressed, 2+bln ulrs
URL Index by Ilya Kreymer of @webrecorder_io http://index.commoncrawl.org/
Datasets
Tools
Scale and Budget
TOOLS OVERVIEW
Generic: Grep, Python, Ruby, JVM - all good, but hard to scale beyond single machine or data format
Hight-performance: MPI, Hadoop, HPC - awesome but complex, not easy, problem specific, not very accessible
New, scalable: Spark, Flink, Zeppelin - easy (not simple) and robust
Apache Software Foundation
http://www.apache.org/foundation/
Apache Software Foundation
1999 - 21 founders of 1 project
2016 - 9 Board of Directors 600 Foundation members2000+ committers of 171 projects (+55 incubating)
Keywords: meritocracy, community over code, consensus
Provide: infrastructure, legal support, way of building software
http://www.apache.org/foundation/
Apache Spark Scala, Python, R
Apache Zeppelin Modern Web GUI, plays nicely with Spark, Flink, Elasticsearch, etc. Easy to set up.
Warcbase Spark library for saved crawl data (WARC)
Juju Scales, integration with Spark, Zeppelin, AWS, Ganglia
NEW, SCALABLE TOOLS
APACHE SPARK
From Berkeley AMP Labs, since 2010
Founded Databricks since 2013, joined Apache since 2014
1000+ contributors
REPL + Java, Scala, Python, R APIs
http://spark.apache.org
APACHE SPARK
Has much more: GraphX, MLlib, SQLhttps://spark.apache.org/examples.html
http://spark.apache.org
Parallel collections API (similar to FlumeJava, Crunch, Cascading)
• Notebook style GUI on top of backend processing system
• Plays nicely with all the eco-system Spark, Flink, SQL, Elasticsearch, etc.
• Easy to set up
APACHE ZEPPELIN (INCUBATING)
http://zeppelin.incubator.apache.org
Enters ASF Incubation12.201408.2013 NFLabs Internal project Hive/Shark
12.2012 Commercial App using AMP Lab Shark 0.510.2013 Prototype Hive/Shark
APACHE ZEPPELIN PROJECT TIMELINE
01.2016 3 major releases
http://zeppelin.incubator.apache.org
Interactive Visualization
APACHE ZEPPELIN
Pluggable Interpreters
APACHE ZEPPELIN
Spark library for WARC (Web ARChive) data processing * text analysis * site link structure
WARCBASE
https://github.com/lintool/warcbase
http://lintool.github.io/warcbase-docs
Service modeling at scale
Deployment\configuration automation + Integration with Spark, Zeppelin, Ganglia, etc + AWS, GCE, Azure, LXC, etc
JUJU
https://jujucharms.com/
$ apt-get install juju-core juju-quickstart # or $ brew install juju juju-quickstart $ juju generate-config #LXC, AWS, GCE, Azure, VMWare, OpenStack
$ juju bootstrap $ juju quickstart apache-hadoop-spark-zeppelin $ juju expose spark zeppelin $ juju add-unit -n4 slave
JUJU
http://bigdata.juju.solutions/getstarted
JUJU
http://bigdata.juju.solutions/getstarted
7 node cluster designed to scale out
Datasets
Tools
Scale and Budget
1 core
10s PC
1000 instances
APPROACH: SCALE AND BUDGET
Prototype
Estimate the cost
Scale out
Your laptop
AWS spot instances
Deployment automation
TAKEAWAY
There are plenty of free tools out there
To crunch the data for fun and profit
They are easy (not simple) to learn and generic enough
Thank you
