big data now current perspectives from oreilly radar copy

7/31/2019 Big Data Now Current Perspectives From OReilly Radar Copy

1/137


2/137

Big Data Now

Beijing Cambridge Farnham Kln Sebastopol Tokyo


3/137

Big Data Now

Printing History:
mailto:[email protected]://my.safaribooksonline.com/?portal=oreillyhttp://my.safaribooksonline.com/?portal=oreilly


4/137

Table of Contents

F o rew o rd . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii

1. Data Science and Data Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

2. Data Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

iii


5/137

3. The Application of Data: Products and Processes . . . . . . . . . . . . . . . . . . . . 75

4. The Business of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107

iv | Table of Contents


6/137

Table of Contents | v


7/137


8/137

Foreword

vii


9/137


10/137

CHAPTER 1

Data Science and Data Tools

What is data science?

1
http://radar.oreilly.com/mikel/index.htmlhttp://oreilly.com/web2/archive/what-is-web-20.htmlhttp://www.nytimes.com/2009/08/06/technology/06stats.htmlhttp://radar.oreilly.com/mikel/index.html


11/137

What is data science?

2 | Chapter 1:Data Science and Data Tools
http://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-what-is-data-sciencehttp://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-what-is-data-sciencehttp://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-what-is-data-sciencehttp://en.wikipedia.org/wiki/CDDB


12/137

Flu trends

What is data science? | 3
http://www.linkedin.com/http://www.amazon.com/http://www.linkedin.com/http://www.facebook.com/http://www.google.org/flutrends/about/how.htmlhttp://gdgt.com/discuss/voice-recognition-is-amazing-ive-only-68e/http://en.wikipedia.org/wiki/PageRank


13/137

Where data comes from

http://infochimps.org/http://www.factual.com/http://en.wikipedia.org/wiki/Nielsen_BookScanhttp://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?ref=magazinehttp://oreilly.com/catalog/9780596804787http://www.factual.com/http://infochimps.org/http://en.wikipedia.org/wiki/Nielsen_BookScanhttp://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?ref=magazinehttp://oreilly.com/catalog/9780596804787


14/137

http://news.cnet.com/2300-1010_3-6031405-6.htmlhttp://en.wikipedia.org/wiki/Motorola_68000


15/137

1956 disk drive

http://en.wikipedia.org/wiki/Data_scraping#Screen_scrapinghttp://www.almaden.ibm.com/


16/137

http://www.nltk.org/http://www.nltk.org/http://google.com/trendshttp://www.nas.nasa.gov/About/Education/Ozone/history.htmlhttp://www.nas.nasa.gov/About/Education/Ozone/history.htmlhttp://oreilly.com/perl/http://oreilly.com/python/http://oreilly.com/catalog/9780596000707http://oreilly.com/catalog/9780596000707http://www.nltk.org/http://www.nltk.org/http://google.com/trends?q=Pythonhttp://google.com/trends?q=Cassandrahttp://google.com/trendshttp://www.nas.nasa.gov/About/Education/Ozone/history.htmlhttp://www.nas.nasa.gov/About/Education/Ozone/history.htmlhttp://oreilly.com/python/http://oreilly.com/perl/http://oreilly.com/catalog/9780596000707http://www.crummy.com/software/BeautifulSoup/http://www.crummy.com/software/BeautifulSoup/http://oreilly.com/catalog/9780596804787%20id=hni2


17/137

Working with data at scale

http://twitter.com/hackingdatahttp://oreilly.com/catalog/9780596157128/%20id=aod4%20title=Data?Beautifulhttp://twitter.com/hackingdatahttps://www.mturk.com/mturk/welcome%20id=k3lahttps://www.mturk.com/mturk/welcome%20id=k3la


18/137

http://aws.amazon.com/elasticmapreduce/http://developer.yahoo.net/blogs/hadoop/2008/02/yahoo-worlds-largest-production-hadoop.htmlhttp://hadoop.apache.org/http://labs.google.com/papers/mapreduce.htmlhttp://hadoop.apache.org/hbase/http://www.riptano.com/http://labs.google.com/papers/bigtable.htmlhttp://www.allthingsdistributed.com/2007/10/amazons_dynamo.htmlhttp://aws.amazon.com/elasticmapreduce/http://www.cloudera.com/http://developer.yahoo.net/blogs/hadoop/2008/02/yahoo-worlds-largest-production-hadoop.htmlhttp://developer.yahoo.net/blogs/hadoop/2008/02/yahoo-worlds-largest-production-hadoop.htmlhttp://hadoop.apache.org/http://hadoop.apache.org/http://labs.google.com/papers/mapreduce.htmlhttp://www.cloudera.com/http://hadoop.apache.org/hbase/http://www.riptano.com/http://cassandra.apache.org/http://www.allthingsdistributed.com/2007/10/amazons_dynamo.htmlhttp://labs.google.com/papers/bigtable.html


19/137

http://www.snaptell.com/http://www.google.com/mobile/goggles/http://bit.ly/http://twitter.com/hmasonhttp://twitter.com/http://search.twitter.com/http://code.google.com/p/hop/http://hadoop.apache.org/pig/http://www.stanford.edu/class/cs229/http://www.snaptell.com/http://www.google.com/mobile/goggles/http://bit.ly/http://twitter.com/hmasonhttp://twitter.com/http://twitter.com/http://search.twitter.com/http://code.google.com/p/hop/http://hadoop.apache.org/pig/http://hadoop.apache.org/hive/http://hadoop.apache.org/hdfs/http://oreilly.com/catalog/9780596521981


20/137

http://www.r-project.org/http://cran.r-project.org/http://oreilly.com/catalog/9780596801717/http://twitter.com/datasporahttp://www.dataspora.com/http://cran.r-project.org/http://www.r-project.org/http://www.r-project.org/http://oreilly.com/catalog/9780596801717/http://twitter.com/datasporahttp://twitter.com/datasporahttp://www.dataspora.com/https://www.mturk.com/mturk/welcome%20id=k3lahttp://opencv.willowgarage.com/wiki/http://code.google.com/apis/predict/http://lucene.apache.org/mahout/http://www.cs.waikato.ac.nz/ml/weka/http://elefant.developer.nicta.com.au/http://pybrain.org/


21/137

Making data tell its story

Data scientists

http://flowingdata.com/2010/04/07/watching-the-growth-of-walmart-now-with-100-more-sams-club/http://flowingdata.com/http://manyeyes.alphaworks.ibm.com/manyeyes/http://processing.org/http://www.gnuplot.info/http://twitter.com/wattenberghttp://flowingdata.com/2010/04/07/watching-the-growth-of-walmart-now-with-100-more-sams-club/http://flowingdata.com/http://manyeyes.alphaworks.ibm.com/manyeyes/http://processing.org/http://www.gnuplot.info/http://twitter.com/wattenberghttp://www.amazon.com/Visual-Display-Quantitative-Information-2nd/dp/0961392142/


22/137

http://oreilly.com/catalog/9780596157128/%20id=aod4%20title=Data?Beautifulhttp://oreilly.com/catalog/9780596157128/%20id=aod4%20title=Data?Beautifulhttp://www.midomi.com/http://twitter.com/dpatilhttp://www.linkedin.com/


23/137

Hiring trends for data science

http://radar.oreilly.com/research/http://radar.oreilly.com/research/http://radar.oreilly.com/research/


24/137

http://oreilly.com/catalog/9780596153946/http://oreilly.com/catalog/9780596527587/http://oreilly.com/catalog/0636920000617/http://oreilly.com/catalog/9780596157128/http://oreilly.com/catalog/9780596529321/http://oreilly.com/catalog/9780596802363/http://oreilly.com/catalog/9780596510497/http://oreilly.com/catalog/9780596801717/http://oreilly.com/catalog/9780596153946/http://oreilly.com/catalog/9780596527587/http://oreilly.com/catalog/0636920000617/http://oreilly.com/catalog/9780596157128/http://oreilly.com/catalog/9780596529321/http://oreilly.com/catalog/9780596802363/http://oreilly.com/catalog/9780596510497/http://oreilly.com/catalog/9780596801717/http://www.mckinseyquarterly.com/Hal_Varian_on_how_the_Web_challenges_managers_2286http://www.mckinseyquarterly.com/Hal_Varian_on_how_the_Web_challenges_managers_2286


25/137

The SMAQ stack for big data

http://radar.oreilly.com/edd/index.html


26/137

MapReduce

The SMAQ stack for big data | 17
http://labs.google.com/papers/mapreduce.htmlhttp://labs.google.com/papers/mapreduce.htmlhttp://labs.google.com/papers/mapreduce.htmlhttp://oreilly.com/web2/archive/what-is-web-20.htmlhttp://strataconf.com/http://en.wikipedia.org/wiki/LAMP_(software_bundle)


27/137

http://en.wikipedia.org/wiki/MapReduce#Examplehttp://en.wikipedia.org/wiki/MapReduce#Examplehttp://en.wikipedia.org/wiki/MapReduce#Example


28/137

Hadoop MapReduce

public static class Mapextends Mapper {

private final static IntWritable one = new IntWritable(1);private Text word = new Text();

public void map(LongWritable key, Text value, Context context)

throws IOException, InterruptedException {

String line = value.toString();StringTokenizer tokenizer = new StringTokenizer(line);while (tokenizer.hasMoreTokens()) {

word.set(tokenizer.nextToken()); context.write(word, one);

}}

}

public static class Reduceextends Reducer {

public void reduce(Text key, Iterable values,Context context) throws IOException, InterruptedException {

int sum = 0; for (IntWritable val : values) { sum += val.get(); }

context.write(key, new IntWritable(sum));}}

http://hadoop.apache.org/mapreduce/docs/current/http://hadoop.apache.org/#What+Is+Hadoop%3Fhttp://research.yahoo.com/files/cutting.pdf


29/137

Other implementations

Storage

http://en.wikipedia.org/wiki/MapReduce#Implementationshttp://en.wikipedia.org/wiki/MapReduce#Implementations


30/137

Hadoop Distributed File System

HBase, the Hadoop Database

http://labs.google.com/papers/bigtable.htmlhttp://labs.google.com/papers/bigtable.htmlhttp://hbase.apache.org/http://hbase.apache.org/http://labs.google.com/papers/bigtable.htmlhttp://hadoop.apache.org/hdfs/docs/current/hdfs_design.htmlhttp://hadoop.apache.org/hdfs/http://hadoop.apache.org/hdfs/


31/137

Hive

Cassandra and Hypertable

http://cassandra.apache.org/http://hypertable.org/http://www.zvents.com/http://hypertable.org/http://cassandra.apache.org/http://hadoop.apache.org/hive/http://incubator.apache.org/thrift/http://en.wikipedia.org/wiki/Representational_State_Transfer


32/137

NoSQL database implementations of MapReduce

https://wiki.basho.com/display/RIAK/Riakhttp://www.mongodb.org/http://code.google.com/p/hypertable/wiki/HiveExtensionhttp://code.google.com/p/hypertable/wiki/HiveExtensionhttp://wiki.apache.org/cassandra/HadoopSupporthttps://wiki.basho.com/display/RIAK/MapReducehttps://wiki.basho.com/display/RIAK/Riakhttp://www.mongodb.org/display/DOCS/MapReducehttp://www.mongodb.org/http://couchdb.apache.org/http://code.google.com/p/hypertable/wiki/HiveExtensionhttp://wiki.apache.org/cassandra/HadoopSupporthttp://wiki.apache.org/cassandra/HadoopSupport


33/137

Integration with SQL databases

Integration with streaming data sources

Commercial SMAQ solutions

http://github.com/facebook/scribehttp://archive.cloudera.com/cdh/3/flume-0.9.1+1/UserGuide.htmlhttp://github.com/cloudera/flumehttp://github.com/cwensel/cascading.jdbc/http://github.com/backtype/cascading-dbmigratehttp://www.cloudera.com/http://wiki.github.com/cloudera/sqoop/http://github.com/facebook/scribehttp://archive.cloudera.com/cdh/3/flume-0.9.1+1/UserGuide.htmlhttp://archive.cloudera.com/cdh/3/flume-0.9.1+1/UserGuide.htmlhttp://github.com/cloudera/flumehttp://github.com/backtype/cascading-dbmigratehttp://github.com/cwensel/cascading.jdbc/http://www.cloudera.com/http://wiki.github.com/cloudera/sqoop/


34/137

Query

http://www.cloudera.com/company/open-source/http://www.cloudera.com/company/open-source/http://www.cloudera.com/company/open-source/http://www.cloudera.com/products-services/enterprise/http://www.cloudera.com/hadoop/http://www.cloudera.com/http://www.netezza.com/releases/2010/release071510.htmhttp://www.netezza.com/releases/2010/release071510.htmhttp://www.netezza.com/http://www.vertica.com/MapReducehttp://www.vertica.com/http://www.cloudera.com/company/open-source/http://www.cloudera.com/company/open-source/http://www.cloudera.com/products-services/enterprise/http://www.cloudera.com/hadoop/http://www.cloudera.com/http://www.netezza.com/releases/2010/release071510.htmhttp://www.netezza.com/releases/2010/release071510.htmhttp://www.netezza.com/http://www.vertica.com/MapReducehttp://www.vertica.com/http://www.asterdata.com/resources/mapreduce.phphttp://www.asterdata.com/resources/mapreduce.phphttp://www.asterdata.com/product/index.phphttp://www.greenplum.com/technology/mapreduce/http://www.greenplum.com/technology/mapreduce/http://www.greenplum.com/http://en.wikipedia.org/wiki/Data_warehousehttp://en.wikipedia.org/wiki/Data_warehouse


35/137

Pig

input = LOAD 'input/sentences.txt' USING TextLoader();words = FOREACH input GENERATE FLATTEN(TOKENIZE($0));grouped = GROUP words BY $0;counts = FOREACH grouped GENERATE group, COUNT(words);ordered = ORDER counts BY $0;STORE ordered INTO 'output/wordCount' USING PigStorage();

http://hadoop.apache.org/pig/docs/r0.7.0/udf.htmlhttp://hadoop.apache.org/pig/


36/137


37/137

(defmapcatop split [sentence](seq (.split sentence "\\s+")))

(? ?word)

(c/count ?count))

Search with Solr

Conclusion

http://lucene.apache.org/http://lucene.apache.org/solr/http://nathanmarz.com/blog/introducing-cascalog-a-clojure-based-query-language-for-hado.html


38/137

Scraping, cleaning, and selling big data

Scraping, cleaning, and selling big data | 29
http://www.infochimps.com/datasets/http://blog.infochimps.com/2008/12/29/massive-scrape-of-twitters-friend-graph/http://www.infochimps.com/http://blog.infochimps.com/2008/12/29/massive-scrape-of-twitters-friend-graph/http://radar.oreilly.com/audreyw/index.htmlhttp://en.wikipedia.org/wiki/Trespass_to_chattels#United_States_lawhttp://www.infochimps.com/datasets/http://blog.infochimps.com/2008/12/29/massive-scrape-of-twitters-friend-graph/http://blog.infochimps.com/2008/12/29/massive-scrape-of-twitters-friend-graph/http://www.infochimps.com/http://radar.oreilly.com/audreyw/index.htmlhttp://radar.oreilly.com/2010/06/what-is-data-science.html


39/137

http://en.wikipedia.org/wiki/Denial-of-service_attackhttp://radar.oreilly.com/2011/03/twitter-developers.htmlhttp://dev.twitter.com/pages/api_termshttp://www.copyright.gov/fls/fl102.htmlhttp://en.wikipedia.org/wiki/Denial-of-service_attackhttp://radar.oreilly.com/2011/03/twitter-developers.htmlhttp://dev.twitter.com/pages/api_termshttp://www.copyright.gov/fls/fl102.htmlhttp://www.copyright.gov/title17/92chap1.html#102http://www.copyright.gov/title17/92chap1.html#102


40/137

Scraping, cleaning, and selling big data | 31
http://www.spss.com/https://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-infochimpshttp://www.wolfram.com/mathematica/http://en.wikipedia.org/wiki/XMLhttp://www.w3.org/RDF/http://www.spss.com/https://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-infochimpshttp://www.oscon.com/oscon2011https://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-infochimps


41/137


42/137

Data hand tools

Data hand tools | 33
http://www.dataists.com/2010/09/a-taxonomy-of-data-science/http://www.gnu.org/software/octave/http://www.mathworks.com/http://wolfram.com/http://nosql-database.org/http://hadoop.apache.org/http://www.r-project.org/http://radar.oreilly.com/2010/06/what-is-data-science.htmlhttp://radar.oreilly.com/mikel/index.html


43/137


45/137

$ grep '599 [A-Z][A-Z]' rudx-log.txt | colrm 1 72 | sort | uniq | wc38 38 342

$ grep '599 [A-Z][A-Z]' rudx-log.txt | awk '{print $2 " " $11}' |\sort | uniq

14000 AD14000 AL14000 AN...

$ grep '599 [A-Z][A-Z]' rudx-log.txt | awk '{print $2 " " $11}' |\sort | uniq | grep 21000 | wc20 40 180

$ grep '599 [A-Z][A-Z]' rudx-log.txt | awk '{print $2 " " $11}' |\sort | uniq | grep 14000 | wc26 52 234

...



46/137

$ grep '599 [A-Z][A-Z]' `find . -name rudx-log.txt -print` |\awk '{print $2 " " $11}' | sort | uniq | grep 14000 | wc

48 96 432

...

./2008/rudx-log.txt:QSO: 14000 CW 2008-03-15 1526 W1JQ 599 0054 \\UA6YW 599 AD./2009/rudx-log.txt:QSO: 14000 CW 2009-03-21 1225 W1JQ 599 0015 \\RG3K 599 VR...



47/137

$ find . -name rudx-log.txt -print | xargs grep '599 [A-Z][A-Z]' |\awk '{print $2 " " $11}' | grep 14000 | sort | uniq | wc

48 96 432

http://www.softpanorama.org/Tools/Find/using_exec_option_and_xargs_in_find.shtmlhttp://www.softpanorama.org/Tools/Find/using_exec_option_and_xargs_in_find.shtml


48/137

$ find . -name rudx-log.txt -print | xargs grep '599 [A-Z][A-Z]' |\

awk '{print $2 " " $11}' | pv | grep 14000 | sort | uniq | wc3.41kB 0:00:00 [ 20kB/s] [48 96 432

http://www.macports.org/ports.phphttp://www.ivarch.com/programs/pv.shtmlhttp://twitter.com/dataspora


49/137

Hadoop: What it is, how it works, and what it can do

http://developer.yahoo.com/hadoop/http://en.wikipedia.org/wiki/Nutchhttp://labs.google.com/papers/mapreduce.htmlhttp://labs.google.com/papers/gfs.htmlhttp://strataconf.com/strata2011/public/schedule/speaker/5259?cmp=il-radar-st11-hadoop-olsonhttp://strataconf.com/strata2011/public/schedule/speaker/5259?cmp=il-radar-st11-hadoop-olsonhttp://www.cloudera.com/http://hadoop.apache.org/http://hadoop.apache.org/http://radar.oreilly.com/jamest/index.html


50/137


51/137


52/137


53/137


54/137

Four free data tools for journalists (and snoops) | 45
http://www.nytimes.com/2010/11/28/business/28borker.htmlhttp://www.nytimes.com/2010/11/28/business/28borker.html


55/137

bit.ly

http://backtype.com/http://bit.ly/


56/137


57/137

The quiet rise of machine learning

http://www.orbitz.com/http://www.estar.org.uk/wiki/index.php/Main_Pagehttp://www.astro.ex.ac.uk/http://www.astro.ex.ac.uk/http://www.astro.ex.ac.uk/https://twitter.com/#!/aallan/http://oreilly.com/catalog/9780596806446/http://www.astro.ex.ac.uk/people/aa/http://www.teleread.com/paul-biba/goodreads-revs-up-a-book-recommendation-engine/http://www.discovereads.com/http://radar.oreilly.com/2011/02/watson-machine-learning.htmlhttp://radar.oreilly.com/jennw/index.htmlhttp://radar.oreilly.com/jennw/index.htmlhttp://techcrunch.com/2011/03/29/gmail-to-roll-out-ads-that-learn-from-your-inbox/http://www.google.com/http://www.slideshare.net/jseidman/real-world-machine-learning-at-orbitz-strata-2011http://www.orbitz.com/http://www.estar.org.uk/wiki/index.php/Main_Pagehttp://www.astro.ex.ac.uk/http://www.astro.ex.ac.uk/http://www.astro.ex.ac.uk/people/aa/http://oreilly.com/catalog/9780596806446/https://twitter.com/#!/aallan/http://www.discovereads.com/http://www.teleread.com/paul-biba/goodreads-revs-up-a-book-recommendation-engine/http://www.goodreads.com/http://radar.oreilly.com/2011/02/watson-machine-learning.htmlhttp://radar.oreilly.com/jennw/index.htmlhttp://web.mailana.com/labs/bigdataforjournalists.pdf


58/137


59/137

http://strataconf.com/http://en.wikipedia.org/wiki/Sensor_nodehttp://www.youtube.com/watch?v=7zpl_DZC2-g&feature=player_embeddedhttp://strataconf.com/http://en.wikipedia.org/wiki/Sensor_node


60/137

Where the semantic web stumbled, linked data willsucceed

Where the semantic web stumbled, linked data will succeed | 51
http://radar.oreilly.com/2009/05/google-rich-snippets-semantic-web.htmlhttp://opengraphprotocol.org/http://radar.oreilly.com/tylerb/index.htmlhttp://radar.oreilly.com/tylerb/index.htmlhttp://linkeddata.org/http://radar.oreilly.com/2009/05/google-rich-snippets-semantic-web.htmlhttp://radar.oreilly.com/2009/05/google-rich-snippets-semantic-web.htmlhttp://radar.oreilly.com/2010/05/facebook-open-graph-and-the-se.htmlhttp://opengraphprotocol.org/http://en.wikipedia.org/wiki/Holy_Roman_Empirehttp://radar.oreilly.com/tylerb/index.html


61/137

http://en.wikipedia.org/wiki/Named_entity_recognitionhttp://en.wikipedia.org/wiki/Named_entity_recognitionhttp://developer.yahoo.com/search/boss/structureddata.htmlhttp://data.ordnancesurvey.co.uk/id/7000000000037256http://data.ordnancesurvey.co.uk/id/7000000000037256http://evan.prodromou.name/RDFa_vs_microformatshttp://evan.prodromou.name/RDFa_vs_microformatshttp://data.nytimes.com/http://blog.ordnancesurvey.co.uk/2010/11/linked-data-at-ordnance-survey/http://en.wikipedia.org/wiki/Named_entity_recognitionhttp://foursquare.com/venue/18645http://www.yelp.com/biz/cin-cin-wine-bar-los-gatos-2http://developer.yahoo.com/search/boss/structureddata.htmlhttp://developer.yahoo.com/search/boss/structureddata.htmlhttp://data.ordnancesurvey.co.uk/id/7000000000037256http://data.ordnancesurvey.co.uk/id/7000000000037256http://evan.prodromou.name/RDFa_vs_microformatshttp://evan.prodromou.name/RDFa_vs_microformatshttp://en.wikipedia.org/wiki/Hcardhttp://en.wikipedia.org/wiki/RDFahttp://www.google.com/support/webmasters/bin/answer.py?answer=176035http://www.factual.com/http://developer.yahoo.com/geo/geoplanet/data/http://blog.ordnancesurvey.co.uk/2010/11/linked-data-at-ordnance-survey/http://blog.ordnancesurvey.co.uk/2010/11/linked-data-at-ordnance-survey/http://data.nytimes.com/http://data.nytimes.com/


62/137

Where the semantic web stumbled, linked data will succeed | 53
http://www.bbc.co.uk/blogs/bbcinternet/2010/07/the_world_cup_and_a_call_to_ac.htmlhttp://www.insidefacebook.com/2010/11/09/aggregated-mentions-machine-reading/http://techcrunch.com/2010/10/27/aro-mobile/http://www.guardian.co.uk/open-platform/blog/linked-data-open-platformhttp://developer.yahoo.com/geo/geoplanet/guide/api-reference.html#api-concordancehttp://en.wikipedia.org/wiki/HCardhttp://developer.yahoo.com/geo/geoplanet/guide/api-reference.html#api-concordancehttp://blog.placecast.net/post/489490648/opening-the-placecast-match-apihttp://www.insidefacebook.com/2010/11/09/aggregated-mentions-machine-reading/http://www.bbc.co.uk/blogs/bbcinternet/2010/07/the_world_cup_and_a_call_to_ac.htmlhttp://www.bbc.co.uk/blogs/bbcinternet/2010/07/the_world_cup_and_a_call_to_ac.htmlhttp://techcrunch.com/2010/10/27/aro-mobile/http://www.guardian.co.uk/open-platform/blog/linked-data-open-platformhttp://developer.yahoo.com/geo/geoplanet/guide/api-reference.html#api-concordancehttp://developer.yahoo.com/geo/geoplanet/guide/api-reference.html#api-concordancehttp://en.wikipedia.org/wiki/HCardhttp://blog.placecast.net/post/489490648/opening-the-placecast-match-apihttp://gigaom.com/2010/05/07/the-great-open-database-of-place-pages-in-the-sky/http://gigaom.com/2010/05/07/the-great-open-database-of-place-pages-in-the-sky/http://viewer.opencalais.com/http://viewer.opencalais.com/http://www.headup.com/http://www.headup.com/


63/137

Social data is an oracle waiting for a question

http://radar.oreilly.com/mslocum/index.htmlhttps://en.oreilly.com/where2011/public/regwith/whr11rad?cmp=il-radar-wh11-russell-social-datahttp://oreilly.com/catalog/0636920010203/http://twitter.com/ptwobrussellhttp://www.datameer.com/index.htmlhttp://www.needlebase.com/http://www.needlebase.com/http://aws.amazon.com/publicdatasets/http://radar.oreilly.com/2011/02/google-data-explorer.htmlhttp://radar.oreilly.com/mslocum/index.html


64/137

Social data is an oracle waiting for a question | 55
http://www.infochimps.com/http://gnip.com/https://en.oreilly.com/where2011/public/regwith/whr11rad?cmp=il-radar-wh11-russell-social-datahttp://gnip.com/http://www.infochimps.com/http://www.infochimps.com/


65/137

The challenges of streaming real-time data

http://radar.oreilly.com/audreyw/index.htmlhttp://github.com/ptwobrussell/Mining-the-Social-Webhttp://radar.oreilly.com/audreyw/index.htmlhttp://github.com/ptwobrussell/Mining-the-Social-Webhttps://en.oreilly.com/where2011/public/regwith/whr11rad?cmp=il-radar-wh11-russell-social-data


66/137


67/137

https://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-gnip-realtime-datahttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-gnip-realtime-datahttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-gnip-realtime-datahttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-gnip-realtime-data


68/137


69/137


70/137


71/137


72/137

Theres no definition

Time for the community to rally

Why you cant really anonymize your data

Why you cant really anonymize your data | 63
http://radar.oreilly.com/petew/index.htmlhttp://radar.oreilly.com/petew/index.htmlhttp://www.datasciencetoolkit.org/http://www.datasciencetoolkit.org/


73/137

64 | Chapter 2:Data Issues
http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/http://www.kaggle.com/http://33bits.org/about/netflix-paper-home-page/http://33bits.org/about/netflix-paper-home-page/http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/http://33bits.org/2011/03/09/link-prediction-by-de-anonymization-how-we-won-the-kaggle-social-network-challenge/http://www.kaggle.com/http://33bits.org/about/netflix-paper-home-page/http://33bits.org/about/netflix-paper-home-page/http://33bits.org/


74/137


75/137


76/137


77/137


78/137


79/137


80/137


81/137


82/137


83/137


84/137

CHAPTER 3

The Application of Data: Products

and Processes

How the Library of Congress is building the Twitterarchive

75
http://blog.twitter.com/2010/04/tweet-preservation.htmlhttps://twitter.com/#!/BarackObama/status/1389362776http://bits.blogs.nytimes.com/2010/01/22/first-tweet-from-space/http://bits.blogs.nytimes.com/2010/01/22/first-tweet-from-space/http://blog.twitter.com/2010/04/tweet-preservation.htmlhttp://radar.oreilly.com/audreyw/index.html


85/137

76 | Chapter 3:The Application of Data: Products and Processes
http://www.loc.gov/folklife/https://groups.google.com/forum/#!topic/twitter-development-talk/Gs2VT4oE-oQ/overview


86/137

How the Library of Congress is building the Twitter archive | 77
http://www.archive.org/details/301workshttp://mehack.com/map-of-a-twitter-status-objecthttp://www.gnip.com/http://blog.twitter.com/2011/03/numbers.htmlhttp://blogs.loc.gov/loc/2010/04/how-tweet-it-is-library-acquires-entire-twitter-archive/https://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-loc-twitterhttp://www.archive.org/details/301workshttp://mehack.com/map-of-a-twitter-status-objecthttp://www.gnip.com/http://blog.twitter.com/2011/03/numbers.htmlhttp://blogs.loc.gov/loc/2010/04/how-tweet-it-is-library-acquires-entire-twitter-archive/https://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-loc-twitterhttp://www.oscon.com/oscon2011?cmp=il-radar-os11-loc-twitterhttps://en.oreilly.com/oscon2011/public/regwith/os11rad?cmp=il-radar-os11-loc-twitter


87/137


88/137

Data journalism and data tools

Data journalism, data tools, and the newsroom stack | 79
http://radar.oreilly.com/2010/12/data-journalism.htmlhttp://www.knightfoundation.org/press-room/press-release/knight-foundation-media-innovation-contest-announc/http://gigaom.com/2011/06/22/future-of-media-when-big-data-meets-journalism/http://gigaom.com/2011/06/22/future-of-media-when-big-data-meets-journalism/http://radar.oreilly.com/2010/12/data-journalism.htmlhttp://radar.oreilly.com/2010/12/data-journalism.htmlhttp://www.knightfoundation.org/press-room/press-release/knight-foundation-media-innovation-contest-announc/


89/137


90/137

The newsroom stack

Data journalism, data tools, and the newsroom stack | 81
http://www.youtube.com/watch?v=CaXWWuNDHgE&feature=player_embeddedhttp://jonathanstray.com/the-editorial-search-enginehttp://www.niemanlab.org/2011/06/the-news-challenge-winning-panda-project-aims-to-make-research-easier-in-the-newsroom/https://docs.google.com/present/view?id=dft4sbfd_71fgd4fpg3


91/137


92/137

The data analysis path is built on curiosity, followed by

action

The data analysis path is built on curiosity, followed by action | 83
http://radar.oreilly.com/mslocum/index.htmlhttp://oreilly.com/catalog/9781449389796/http://oreilly.com/catalog/9781449389796/http://www.oreillynet.com/pub/au/933http://radar.oreilly.com/mslocum/index.htmlhttp://www.flickr.com/photos/blprnt/3291244820/


93/137

http://oreilly.com/catalog/9781449389796/


94/137


95/137


96/137

How data and analytics can improve education | 87
http://www.open.ac.uk/http://research.uow.edu.au/learningnetworks/seeing/snapp/index.htmlhttp://google.com/analyticshttp://piwik.org/http://www.moodle.org/http://desire2learn.com/http://www.open.ac.uk/http://research.uow.edu.au/learningnetworks/seeing/snapp/index.htmlhttp://piwik.org/http://google.com/analyticshttp://desire2learn.com/http://www.moodle.org/http://www.athabascau.ca/http://www.elearnspace.org/blog/


97/137

https://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-siemens-education-datahttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-siemens-education-datahttp://en.wikipedia.org/wiki/Hawthorne_effecthttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-siemens-education-datahttps://en.oreilly.com/stratany2011/public/regwith/stn11rad?cmp=il-radar-st11-siemens-education-datahttp://radian6.com/http://klout.com/


98/137


99/137



100/137


101/137

Data science is a pipeline between academic disciplines

http://strataconf.com/stratany2011/public/schedule/speaker/104414?cmp=il-radar-st11-drew-conway-data-science-academichttp://strataconf.com/stratany2011?cmp=il-radar-st11-drew-conway-data-science-academichttp://strataconf.com/stratany2011?cmp=il-radar-st11-drew-conway-data-science-academichttp://strataconf.com/stratany2011/public/schedule/speaker/104414?cmp=il-radar-st11-drew-conway-data-science-academichttp://twitter.com/drewconwayhttp://www.drewconway.com/Drew_Conway/About.htmlhttp://radar.oreilly.com/audreyw/index.html


102/137

Data science is a pipeline between academic disciplines | 93
http://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-drew-conway-data-science-academichttp://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-drew-conway-data-science-academichttp://themonkeycage.org/http://themonkeycage.org/http://oreilly.com/python/http://oreilly.com/python/http://oreilly.com/catalog/9780596801717


103/137


104/137

Data science is a pipeline between academic disciplines | 95
https://www.mturk.com/mturk/welcomehttps://www.mturk.com/mturk/welcomehttp://en.wikipedia.org/wiki/Institutional_review_boardhttp://en.wikipedia.org/wiki/Institutional_review_boardhttp://orda.siuc.edu/human/http://orda.siuc.edu/human/https://www.mturk.com/mturk/welcomehttp://en.wikipedia.org/wiki/Institutional_review_boardhttp://en.wikipedia.org/wiki/Institutional_review_boardhttp://orda.siuc.edu/human/http://radar.oreilly.com/2011/02/big-data-metaphor.html


105/137

Big data and open source unlock genetic secrets

http://www.benaroyaresearch.org/http://www.benaroyaresearch.org/http://www.oscon.com/oscon2011/public/schedule/speaker/109459?cmp=il-radar-os11-charlie-quinn-data-geneshttp://radar.oreilly.com/2011/04/fcc-website-reboot-open-source-cloud.htmlhttp://radar.oreilly.com/gov2/http://strataconf.com/http://strataconf.com/http://www.economist.com/node/15557443?story_id=15557443http://www.oscon.com/?cmp=il-radar-os11-charlie-quinn-data-geneshttp://www.oscon.com/oscon2011/public/schedule/detail/19186?cmp=il-radar-os11-charlie-quinn-data-geneshttp://www.oscon.com/oscon2011/public/schedule/detail/19186?cmp=il-radar-os11-charlie-quinn-data-geneshttp://www.benaroyaresearch.org/http://www.benaroyaresearch.org/http://www.oscon.com/oscon2011/public/schedule/speaker/109459?cmp=il-radar-os11-charlie-quinn-data-geneshttp://www.huffingtonpost.com/alexander-howard/first-international-open-_b_784440.htmlhttp://www.huffingtonpost.com/alexander-howard/first-international-open-_b_784440.htmlhttp://radar.oreilly.com/2011/04/fcc-website-reboot-open-source-cloud.htmlhttp://radar.oreilly.com/gov2/http://strataconf.com/http://www.economist.com/node/15557443?story_id=15557443http://radar.oreilly.com/alexh/index.html


106/137

Big data and open source unlock genetic secrets | 97


107/137


108/137

Big data and open source unlock genetic secrets | 99
http://www.flickr.com/photos/jurvetson/3351973835/http://www.flickr.com/photos/jurvetson/3351973835/http://www.nih.gov/http://www.flickr.com/photos/jurvetson/3351973835/http://www.nih.gov/http://www.pubnet.org/http://www.oscon.com/oscon2011/public/schedule/detail/19186?cmp=il-radar-os11-charlie-quinn-data-geneshttp://www.oscon.com/oscon2011/public/schedule/detail/19186?cmp=il-radar-os11-charlie-quinn-data-genes


109/137

Visualization deconstructed: Mapping Facebooksfriendships

Mapping Facebooks friendships

http://www.facebook.com/notes/facebook-engineering/visualizing-friendships/469716398919http://radar.oreilly.com/2011/01/visualization-mapping-america.htmlhttp://www.facebook.com/notes/facebook-engineering/visualizing-friendships/469716398919http://www.facebook.com/notes/facebook-engineering/visualizing-friendships/469716398919http://paulbutler.org/http://radar.oreilly.com/2011/01/visualization-mapping-america.htmlhttp://radar.oreilly.com/sebastienp/index.html


110/137

Visualization deconstructed: Mapping Facebooks friendships | 101
http://apod.nasa.gov/apod/ap001127.htmlhttp://apod.nasa.gov/apod/ap001127.html


111/137

http://strataconf.com/?cmp=il-radar-st11-viz-facebook-friendshttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-viz-facebook-friendshttp://strataconf.com/?cmp=il-radar-st11-viz-facebook-friends


112/137


113/137

http://twitter.com/#search?q=%23teapartyhttp://twitter.com/#search?q=%23teapartyhttp://twitter.com/#search?q=%23teapartyhttp://twitter.com/#search?q=%23justinbieberhttp://aws.amazon.com/ec2/http://www.datameer.com/about/management.htmlhttp://analytics.google.com/http://www.phpmyadmin.net/home_page/index.phphttp://www.datameer.com/http://www.datameer.com/http://radar.oreilly.com/2010/06/what-is-data-science.html


114/137

Data science democratized | 105


115/137


116/137


117/137

108 | Chapter 4:The Business of Data
https://en.oreilly.com/jumpstart2011/public/regwith/stj11rad?cmp=il-radar-st11-alistair_croll_bigdata_081011https://en.oreilly.com/jumpstart2011/public/regwith/stj11rad?cmp=il-radar-st11-alistair_croll_bigdata_081011https://en.oreilly.com/jumpstart2011/public/regwith/stj11rad?cmp=il-radar-st11-alistair_croll_bigdata_081011https://en.oreilly.com/jumpstart2011/public/regwith/stj11rad?cmp=il-radar-st11-alistair_croll_bigdata_081011https://en.oreilly.com/jumpstart2011/public/regwith/stj11rad?cmp=il-radar-st11-alistair_croll_bigdata_081011


118/137

Big data and the innovators dilemma

Theres no such thing as big data | 109
http://online.wsj.com/article/SB10001424053111903885604576486330882679982.htmlhttp://online.wsj.com/article/SB10001424053111903885604576486330882679982.htmlhttp://online.wsj.com/article/SB10001424053111903885604576486330882679982.htmlhttp://www.mckinsey.com/mgi/publications/big_data/index.asphttp://en.wikipedia.org/wiki/Eureka_(word)http://ideas.economist.com/event/information-2011http://ideas.economist.com/event/information-2011http://online.wsj.com/article/SB10001424053111903885604576486330882679982.htmlhttp://online.wsj.com/article/SB10001424053111903885604576486330882679982.htmlhttp://www.mckinsey.com/mgi/publications/big_data/index.asphttp://en.wikipedia.org/wiki/Eureka_(word)http://ideas.economist.com/event/information-2011http://en.wikipedia.org/wiki/Disruptive_technology


119/137

Building data startups: Fast, big, and focused

Setting the stage: The attack of the exponentials

http://www.slideshare.net/medriscoll/driscoll-strata-buildingdatastartups25may2011cleanhttp://strataconf.com/strata-may2011/public/schedule/detail/20623http://strataconf.com/strata-may2011/public/schedule/detail/20623http://www.slideshare.net/medriscoll/driscoll-strata-buildingdatastartups25may2011cleanhttp://radar.oreilly.com/michaeld/index.htmlhttp://bit.ly/jumpstart-AC


120/137

Leveraging the big data stack

Building data startups: Fast, big, and focused | 111


121/137

Fast data

http://radar.oreilly.com/2011/01/what-is-hadoop.html


122/137

Big analytics

Building data startups: Fast, big, and focused | 113
http://www.accenture.com/us-en/Pages/index.aspxhttp://www.greenplum.com/http://www.dbms2.com/2011/05/23/databases-ram/http://www.accenture.com/us-en/Pages/index.aspxhttp://www.netezza.com/http://hbase.apache.org/http://labs.google.com/papers/bigtable.htmlhttp://labs.google.com/papers/bigtable.htmlhttp://www.postgresql.org/http://www.greenplum.com/http://www.dbms2.com/2011/05/23/databases-ram/http://www.mapr.com/http://www.fusionio.com/


123/137

Focused services

http://www.metamarketsgroup.com/http://www.metamarketsgroup.com/http://klout.com/homehttp://www.news.me/http://flipboard.com/http://www.billguard.com/http://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-driscoll-data-startupshttp://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-driscoll-data-startupshttp://www.mckinsey.com/mgi/publications/big_data/index.asp


124/137

Democratizing big data

Data markets arent coming: Theyre already here

Data markets arent coming: Theyre already here | 115
http://strataconf.com/strata2011/public/schedule/detail/17604http://strataconf.com/strata2011/public/schedule/speaker/26?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/public/schedule/detail/17602?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/public/schedule/detail/17602?cmp=il-radar-st11-valeskihttp://www.delicious.com/http://twitter.com/http://www.facebook.com/http://twitter.com/#!/jvaleskihttp://gnip.com/http://radar.oreilly.com/julies/index.htmlhttp://infochimps.com/http://strataconf.com/strata2011/public/schedule/speaker/107129?cmp=il-radar-st11-valeskihttps://datamarket.azure.com/http://strataconf.com/strata2011/public/schedule/speaker/50595?cmp=il-radar-st11-valeskihttp://thomsonreuters.com/http://strataconf.com/strata2011/public/schedule/speaker/104234?cmp=il-radar-st11-valeskihttp://urbanmapping.com/http://urbanmapping.com/http://strataconf.com/strata2011/public/schedule/speaker/26?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/public/schedule/detail/17604http://strataconf.com/strata2011/public/schedule/detail/17602?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/public/schedule/detail/17602?cmp=il-radar-st11-valeskihttp://strataconf.com/strata2011/?cmp=il-radar-st11-valeskihttp://www.delicious.com/http://www.delicious.com/http://www.flickr.com/http://www.facebook.com/http://twitter.com/http://gnip.com/http://twitter.com/#!/jvaleskihttp://radar.oreilly.com/julies/index.htmlhttp://aboutfoursquare.com/foursquare-explains-how-explore-came-to-be/http://www.linkedin.com/answers/technology/information-technology/information-storage/TCH_ITS_IST/59136-2897253http://www.linkedin.com/answers/technology/information-technology/information-storage/TCH_ITS_IST/59136-2897253


125/137



126/137

Data markets arent coming: Theyre already here | 117
http://gnip.com/twitter/decahosehttp://gnip.com/twitter/halfhosehttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttp://dev.twitter.com/pages/streaming_api_concepts#samplinghttp://dev.twitter.com/pages/streaming_api_concepts#samplinghttp://gnip.com/twitter/spritzerhttp://gnip.com/twitter/halfhosehttp://gnip.com/twitter/decahosehttps://en.oreilly.com/strata2011/public/register?cmp=il-radar-st11-valeskihttp://strataconf.com/?cmp=il-radar-st11-valeski


127/137

http://en.wikipedia.org/wiki/Customer_relationship_managementhttp://en.wikipedia.org/wiki/Botnethttp://en.wikipedia.org/wiki/Customer_relationship_managementhttp://en.wikipedia.org/wiki/Botnethttp://radar.oreilly.com/2010/10/the-black-market-for-data.htmlhttp://en.wikipedia.org/wiki/Value-added_reseller


128/137

An iTunes model for data

An iTunes model for data | 119
http://www.web2expo.com/webexsf2011/public/schedule/detail/16684http://twitter.com/gilelbazhttp://www.factual.com/http://radar.oreilly.com/audreyw/index.htmlhttp://oreilly.com/catalog/9780596157128http://www.web2expo.com/webexsf2011/public/schedule/detail/16684http://www.factual.com/http://twitter.com/gilelbazhttp://radar.oreilly.com/audreyw/index.htmlhttp://oreilly.com/catalog/9780596157128


129/137



130/137

An iTunes model for data | 121
http://www.flickr.com/photos/ivanwalsh/5187183980/http://www.youtube.com/watch?v=X9RErxDRVW4http://www.flickr.com/photos/ivanwalsh/5187183980/http://www.flickr.com/photos/ivanwalsh/5187183980/http://www.youtube.com/watch?v=X9RErxDRVW4http://www.database.com/


131/137

Data is a currency

http://www.bloomberg.com/solutions/http://thomsonreuters.com/products_services/financial/financial_products/a-z/data_feeds/http://radar.oreilly.com/edd/index.htmlhttp://twitter.com/lockerprojecthttp://www.infochimps.com/http://thomsonreuters.com/products_services/financial/financial_products/a-z/data_feeds/http://www.bloomberg.com/solutions/http://radar.oreilly.com/edd/index.html


132/137

Big data: An opportunity in search of a metaphor

Big data: An opportunity in search of a metaphor | 123
http://strataconf.com/strata2011http://radar.oreilly.com/tylerb/index.html


133/137



134/137

Data and the human-machine connection

Data and the human-machine connection | 125
http://www.pcworld.com/article/235846/as_twitter_turns_5_it_delivers_350_billion_tweets_each_day.htmlhttp://www.operasolutions.com/index.htmlhttp://www.operasolutions.com/profile_arnab_gupta.htmlhttp://radar.oreilly.com/julies/index.html


135/137

http://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-gupta-interviewhttp://strataconf.com/public/content/landing?_discount=strata&cmp=il-radar-st11-gupta-interview


136/137

Data and the human-machine connection | 127
http://www-03.ibm.com/innovation/us/watson/index.htmlhttp://www-03.ibm.com/innovation/us/watson/index.html


137/137
http://www.flickr.com/photos/pdenker/74684051/http://www.flickr.com/photos/pdenker/74684051/

big data now current perspectives from oreilly radar copy

Documents