SlideShare a Scribd company logo

Hw09 Counting And Clustering And Other Data Tricks

•Download as PPT, PDF•
•
Cloudera, Inc.
Cloudera, Inc.
Technology
1 of 28
Cheap Parlor Tricks, Counting, and Clustering Derek Gottfrid The New York Times October 2009
Evolution of Hadoop @ NYTimes.com
Early Days - 2007 ,[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object]
Found a Problem ,[object Object]
Problem Bits ,[object Object],[object Object],[object Object],[object Object],[object Object]
Background What goes into making a PDF of a NYTimes.com article? ,[object Object]
Simple Answer ,[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object]
A Few Details ,[object Object],[object Object]
Breakdown ,[object Object],[object Object],[object Object]
TimesMachine http://timesmachine.nytimes.com
Currently - 2009 ,[object Object]
Data ,[object Object],[object Object],[object Object]
Counting ,[object Object],[object Object],[object Object],[object Object]
A Few Details ,[object Object],[object Object],[object Object],[object Object]
Usage Data July 2009 ???M Page Views ??M Unique Users
Merging Data ,[object Object]
Twitter Click Backs By Age Group July 2009
Merging Data ,[object Object]
Usage Data combined with Article Data July 2009 40 Articles
Usage Data combined with Article Data July 2009 40 Articles
Products ,[object Object]
Clustering ,[object Object],[object Object],[object Object]
Clustering
Clustering
Conclusion ,[object Object]
Questions? [email_address] @derekg http://open.nytimes.com/

Recommended

Twitter analytics in Bluemix
Twitter analytics in BluemixTwitter analytics in Bluemix
Twitter analytics in BluemixWilfried Hoge
 
Tropos.io - Hadoop in the Cloud - BA4ALL 2016
Tropos.io - Hadoop in the Cloud - BA4ALL 2016Tropos.io - Hadoop in the Cloud - BA4ALL 2016
Tropos.io - Hadoop in the Cloud - BA4ALL 2016Tropos.io
 
Is it harder to find a taxi when it is raining?
Is it harder to find a taxi when it is raining? Is it harder to find a taxi when it is raining?
Is it harder to find a taxi when it is raining? Wilfried Hoge
 
FMI Open Data on S3
FMI Open Data on S3FMI Open Data on S3
FMI Open Data on S3Roope Tervo
 
JanusGraph, Jupyter Meetup NYC
JanusGraph, Jupyter Meetup NYCJanusGraph, Jupyter Meetup NYC
JanusGraph, Jupyter Meetup NYCJason Plurad
 
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web Archiving
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web ArchivingHBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web Archiving
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web ArchivingHBaseCon
 
Deploying Your Data Warehouse on AWS
Deploying Your Data Warehouse on AWSDeploying Your Data Warehouse on AWS
Deploying Your Data Warehouse on AWSAmazon Web Services
 
Apache Iceberg - A Table Format for Hige Analytic Datasets
Apache Iceberg - A Table Format for Hige Analytic DatasetsApache Iceberg - A Table Format for Hige Analytic Datasets
Apache Iceberg - A Table Format for Hige Analytic DatasetsAlluxio, Inc.
 

Recommended

Twitter analytics in Bluemix
Twitter analytics in BluemixTwitter analytics in Bluemix
Twitter analytics in BluemixWilfried Hoge
 
Tropos.io - Hadoop in the Cloud - BA4ALL 2016
Tropos.io - Hadoop in the Cloud - BA4ALL 2016Tropos.io - Hadoop in the Cloud - BA4ALL 2016
Tropos.io - Hadoop in the Cloud - BA4ALL 2016Tropos.io
 
Is it harder to find a taxi when it is raining?
Is it harder to find a taxi when it is raining? Is it harder to find a taxi when it is raining?
Is it harder to find a taxi when it is raining? Wilfried Hoge
 
FMI Open Data on S3
FMI Open Data on S3FMI Open Data on S3
FMI Open Data on S3Roope Tervo
 
JanusGraph, Jupyter Meetup NYC
JanusGraph, Jupyter Meetup NYCJanusGraph, Jupyter Meetup NYC
JanusGraph, Jupyter Meetup NYCJason Plurad
 
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web Archiving
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web ArchivingHBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web Archiving
HBaseCon 2015: Warcbase - Scaling 'Out' and 'Down' HBase for Web ArchivingHBaseCon
 
Deploying Your Data Warehouse on AWS
Deploying Your Data Warehouse on AWSDeploying Your Data Warehouse on AWS
Deploying Your Data Warehouse on AWSAmazon Web Services
 
Apache Iceberg - A Table Format for Hige Analytic Datasets
Apache Iceberg - A Table Format for Hige Analytic DatasetsApache Iceberg - A Table Format for Hige Analytic Datasets
Apache Iceberg - A Table Format for Hige Analytic DatasetsAlluxio, Inc.
 
Presto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRAPresto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRAkbajda
 
Hadoop summit-ams-2014-04-03
Hadoop summit-ams-2014-04-03Hadoop summit-ams-2014-04-03
Hadoop summit-ams-2014-04-03SDanzanvilliersCriteo
 
Munging Solo: the Joy of Small Data
Munging Solo: the Joy of Small DataMunging Solo: the Joy of Small Data
Munging Solo: the Joy of Small Datarobmillr
 
Performance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FMEPerformance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FMESafe Software
 
Big Data Meets FME
Big Data Meets FMEBig Data Meets FME
Big Data Meets FMESafe Software
 
Graph Computing with JanusGraph
Graph Computing with JanusGraphGraph Computing with JanusGraph
Graph Computing with JanusGraphJason Plurad
 
Serverless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSightServerless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSightAmazon Web Services
 
kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発Teppei Sato
 
Open Source Tools for Big Data
Open Source Tools for Big DataOpen Source Tools for Big Data
Open Source Tools for Big DataTeemu Heikkilä
 
From Raw Data to Deployment
From Raw Data to DeploymentFrom Raw Data to Deployment
From Raw Data to DeploymentKNIMESlides
 
Building an open data platform with apache iceberg
Building an open data platform with apache icebergBuilding an open data platform with apache iceberg
Building an open data platform with apache icebergAlluxio, Inc.
 
Big Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FMEBig Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FMESafe Software
 
Chemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics PlatformChemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics PlatformKNIMESlides
 
An Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaAn Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaObjectRocket
 
Janus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforwardJanus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforwardDemai Ni
 
Building Scalable Big Data Pipelines
Building Scalable Big Data PipelinesBuilding Scalable Big Data Pipelines
Building Scalable Big Data PipelinesChristian Gügi
 
Powers of Ten Redux
Powers of Ten ReduxPowers of Ten Redux
Powers of Ten ReduxJason Plurad
 
Exploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherExploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherObjectRocket
 
JanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching ForwardJanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching ForwardJason Plurad
 
Big Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to ActionBig Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to ActionMurtaza Doctor
 
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...Cloudera, Inc.
 
Hw09 Next Steps For Hadoop
Hw09 Next Steps For HadoopHw09 Next Steps For Hadoop
Hw09 Next Steps For HadoopCloudera, Inc.
 

More Related Content

What's hot

Presto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRAPresto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRAkbajda
 
Munging Solo: the Joy of Small Data
Munging Solo: the Joy of Small DataMunging Solo: the Joy of Small Data
Munging Solo: the Joy of Small Datarobmillr
 
Performance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FMEPerformance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FMESafe Software
 
Graph Computing with JanusGraph
Graph Computing with JanusGraphGraph Computing with JanusGraph
Graph Computing with JanusGraphJason Plurad
 
Serverless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSightServerless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSightAmazon Web Services
 
kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発Teppei Sato
 
Open Source Tools for Big Data
Open Source Tools for Big DataOpen Source Tools for Big Data
Open Source Tools for Big DataTeemu Heikkilä
 
From Raw Data to Deployment
From Raw Data to DeploymentFrom Raw Data to Deployment
From Raw Data to DeploymentKNIMESlides
 
Building an open data platform with apache iceberg
Building an open data platform with apache icebergBuilding an open data platform with apache iceberg
Building an open data platform with apache icebergAlluxio, Inc.
 
Big Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FMEBig Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FMESafe Software
 
Chemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics PlatformChemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics PlatformKNIMESlides
 
An Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaAn Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaObjectRocket
 
Janus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforwardJanus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforwardDemai Ni
 
Building Scalable Big Data Pipelines
Building Scalable Big Data PipelinesBuilding Scalable Big Data Pipelines
Building Scalable Big Data PipelinesChristian Gügi
 
Powers of Ten Redux
Powers of Ten ReduxPowers of Ten Redux
Powers of Ten ReduxJason Plurad
 
Exploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherExploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherObjectRocket
 
JanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching ForwardJanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching ForwardJason Plurad
 
Big Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to ActionBig Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to ActionMurtaza Doctor
 

What's hot (20)

Presto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRAPresto Summit 2018 - 08 - FINRA
Presto Summit 2018 - 08 - FINRA
 
Hadoop summit-ams-2014-04-03
Hadoop summit-ams-2014-04-03Hadoop summit-ams-2014-04-03
Hadoop summit-ams-2014-04-03
 
Munging Solo: the Joy of Small Data
Munging Solo: the Joy of Small DataMunging Solo: the Joy of Small Data
Munging Solo: the Joy of Small Data
 
Performance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FMEPerformance and Application of GIS and Big Data ETL Processes Using FME
Performance and Application of GIS and Big Data ETL Processes Using FME
 
Big Data Meets FME
Big Data Meets FMEBig Data Meets FME
Big Data Meets FME
 
Graph Computing with JanusGraph
Graph Computing with JanusGraphGraph Computing with JanusGraph
Graph Computing with JanusGraph
 
Serverless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSightServerless Big Data Analytics with Amazon Athena and QuickSight
Serverless Big Data Analytics with Amazon Athena and QuickSight
 
kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発kintoneがAWSで目指すDevOpsQAな開発
kintoneがAWSで目指すDevOpsQAな開発
 
Open Source Tools for Big Data
Open Source Tools for Big DataOpen Source Tools for Big Data
Open Source Tools for Big Data
 
From Raw Data to Deployment
From Raw Data to DeploymentFrom Raw Data to Deployment
From Raw Data to Deployment
 
Building an open data platform with apache iceberg
Building an open data platform with apache icebergBuilding an open data platform with apache iceberg
Building an open data platform with apache iceberg
 
Big Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FMEBig Data – Tap into Cloud Infrastructure with FME
Big Data – Tap into Cloud Infrastructure with FME
 
Chemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics PlatformChemistry Data Basics with KNIME Analytics Platform
Chemistry Data Basics with KNIME Analytics Platform
 
An Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaAn Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and Kibana
 
Janus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforwardJanus graph lookingbackwardreachingforward
Janus graph lookingbackwardreachingforward
 
Building Scalable Big Data Pipelines
Building Scalable Big Data PipelinesBuilding Scalable Big Data Pipelines
Building Scalable Big Data Pipelines
 
Powers of Ten Redux
Powers of Ten ReduxPowers of Ten Redux
Powers of Ten Redux
 
Exploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better TogetherExploring MongoDB & Elasticsearch: Better Together
Exploring MongoDB & Elasticsearch: Better Together
 
JanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching ForwardJanusGraph: Looking Backward, Reaching Forward
JanusGraph: Looking Backward, Reaching Forward
 
Big Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to ActionBig Data at Tube: Events to Insights to Action
Big Data at Tube: Events to Insights to Action
 

Viewers also liked

Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...Cloudera, Inc.
 
Hw09 Next Steps For Hadoop
Hw09 Next Steps For HadoopHw09 Next Steps For Hadoop
Hw09 Next Steps For HadoopCloudera, Inc.
 
Hw09 Protein Alignment
Hw09 Protein AlignmentHw09 Protein Alignment
Hw09 Protein AlignmentCloudera, Inc.
 
Hadoop Summit 2012 | HDFS High Availability
Hadoop Summit 2012 | HDFS High AvailabilityHadoop Summit 2012 | HDFS High Availability
Hadoop Summit 2012 | HDFS High AvailabilityCloudera, Inc.
 
Strata + Hadoop World 2012: Apache HBase Features for the Enterprise
Strata + Hadoop World 2012: Apache HBase Features for the EnterpriseStrata + Hadoop World 2012: Apache HBase Features for the Enterprise
Strata + Hadoop World 2012: Apache HBase Features for the EnterpriseCloudera, Inc.
 
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009Hadoop Lecture for Harvard's CS 264 -- October 19, 2009
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009Cloudera, Inc.
 
Hw09 Sqoop Database Import For Hadoop
Hw09 Sqoop Database Import For HadoopHw09 Sqoop Database Import For Hadoop
Hw09 Sqoop Database Import For HadoopCloudera, Inc.
 
Masterclass Webinar - Amazon Elastic MapReduce (EMR)
Masterclass Webinar - Amazon Elastic MapReduce (EMR)Masterclass Webinar - Amazon Elastic MapReduce (EMR)
Masterclass Webinar - Amazon Elastic MapReduce (EMR)Amazon Web Services
 

Viewers also liked (8)

Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
Hw09 Map Reduce Over Tahoe A Least Authority Encrypted Distributed Filesy...
 
Hw09 Next Steps For Hadoop
Hw09 Next Steps For HadoopHw09 Next Steps For Hadoop
Hw09 Next Steps For Hadoop
 
Hw09 Protein Alignment
Hw09 Protein AlignmentHw09 Protein Alignment
Hw09 Protein Alignment
 
Hadoop Summit 2012 | HDFS High Availability
Hadoop Summit 2012 | HDFS High AvailabilityHadoop Summit 2012 | HDFS High Availability
Hadoop Summit 2012 | HDFS High Availability
 
Strata + Hadoop World 2012: Apache HBase Features for the Enterprise
Strata + Hadoop World 2012: Apache HBase Features for the EnterpriseStrata + Hadoop World 2012: Apache HBase Features for the Enterprise
Strata + Hadoop World 2012: Apache HBase Features for the Enterprise
 
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009Hadoop Lecture for Harvard's CS 264 -- October 19, 2009
Hadoop Lecture for Harvard's CS 264 -- October 19, 2009
 
Hw09 Sqoop Database Import For Hadoop
Hw09 Sqoop Database Import For HadoopHw09 Sqoop Database Import For Hadoop
Hw09 Sqoop Database Import For Hadoop
 
Masterclass Webinar - Amazon Elastic MapReduce (EMR)
Masterclass Webinar - Amazon Elastic MapReduce (EMR)Masterclass Webinar - Amazon Elastic MapReduce (EMR)
Masterclass Webinar - Amazon Elastic MapReduce (EMR)
 

Similar to Hw09 Counting And Clustering And Other Data Tricks

Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Cloudera, Inc.
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Precisely
 
Foundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information ArchitectureFoundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information ArchitectureInside Analysis
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
 
Data & Analytics - Session 1 - Big Data Analytics
Data & Analytics - Session 1 - Big Data AnalyticsData & Analytics - Session 1 - Big Data Analytics
Data & Analytics - Session 1 - Big Data AnalyticsAmazon Web Services
 
Amazon Elastic Map Reduce - Ian Meyers
Amazon Elastic Map Reduce - Ian MeyersAmazon Elastic Map Reduce - Ian Meyers
Amazon Elastic Map Reduce - Ian Meyershuguk
 
Agile data warehousing
Agile data warehousingAgile data warehousing
Agile data warehousingSneha Challa
 
Analytics on the Cloud with Tableau on AWS
Analytics on the Cloud with Tableau on AWSAnalytics on the Cloud with Tableau on AWS
Analytics on the Cloud with Tableau on AWSAmazon Web Services
 
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...HostedbyConfluent
 
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
 
AWS res 2024 key points for better research.ppt
AWS res 2024 key points for better research.pptAWS res 2024 key points for better research.ppt
AWS res 2024 key points for better research.pptfodod37142
 
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Amazon Web Services
 
Big Data Meetup #7
Big Data Meetup #7Big Data Meetup #7
Big Data Meetup #7Paul Lo
 
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)Sascha Dittmann
 
Graph databases: Tinkerpop and Titan DB
Graph databases: Tinkerpop and Titan DBGraph databases: Tinkerpop and Titan DB
Graph databases: Tinkerpop and Titan DBMohamed Taher Alrefaie
 
DWH & big data architecture approaches
DWH & big data architecture approachesDWH & big data architecture approaches
DWH & big data architecture approachesLuxoft
 
Владимир Слободянюк «DWH & BigData – architecture approaches»
Владимир Слободянюк «DWH & BigData – architecture approaches»Владимир Слободянюк «DWH & BigData – architecture approaches»
Владимир Слободянюк «DWH & BigData – architecture approaches»Anna Shymchenko
 
L'architettura di classe enterprise di nuova generazione - Massimo Brignoli
L'architettura di classe enterprise di nuova generazione - Massimo BrignoliL'architettura di classe enterprise di nuova generazione - Massimo Brignoli
L'architettura di classe enterprise di nuova generazione - Massimo BrignoliData Driven Innovation
 

Similar to Hw09 Counting And Clustering And Other Data Tricks (20)

Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
 
HadoopWorkshopJuly2014
HadoopWorkshopJuly2014HadoopWorkshopJuly2014
HadoopWorkshopJuly2014
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
 
Foundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information ArchitectureFoundation for Success: How Big Data Fits in an Information Architecture
Foundation for Success: How Big Data Fits in an Information Architecture
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data Warehousing
 
Data & Analytics - Session 1 - Big Data Analytics
Data & Analytics - Session 1 - Big Data AnalyticsData & Analytics - Session 1 - Big Data Analytics
Data & Analytics - Session 1 - Big Data Analytics
 
Amazon Elastic Map Reduce - Ian Meyers
Amazon Elastic Map Reduce - Ian MeyersAmazon Elastic Map Reduce - Ian Meyers
Amazon Elastic Map Reduce - Ian Meyers
 
Agile data warehousing
Agile data warehousingAgile data warehousing
Agile data warehousing
 
Analytics on the Cloud with Tableau on AWS
Analytics on the Cloud with Tableau on AWSAnalytics on the Cloud with Tableau on AWS
Analytics on the Cloud with Tableau on AWS
 
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...
Designing Apache Hudi for Incremental Processing With Vinoth Chandar and Etha...
 
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
 
AWS res 2024 key points for better research.ppt
AWS res 2024 key points for better research.pptAWS res 2024 key points for better research.ppt
AWS res 2024 key points for better research.ppt
 
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...
 
Big Data Meetup #7
Big Data Meetup #7Big Data Meetup #7
Big Data Meetup #7
 
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
 
Graph databases: Tinkerpop and Titan DB
Graph databases: Tinkerpop and Titan DBGraph databases: Tinkerpop and Titan DB
Graph databases: Tinkerpop and Titan DB
 
Hadoop basics
Hadoop basicsHadoop basics
Hadoop basics
 
DWH & big data architecture approaches
DWH & big data architecture approachesDWH & big data architecture approaches
DWH & big data architecture approaches
 
Владимир Слободянюк «DWH & BigData – architecture approaches»
Владимир Слободянюк «DWH & BigData – architecture approaches»Владимир Слободянюк «DWH & BigData – architecture approaches»
Владимир Слободянюк «DWH & BigData – architecture approaches»
 
L'architettura di classe enterprise di nuova generazione - Massimo Brignoli
L'architettura di classe enterprise di nuova generazione - Massimo BrignoliL'architettura di classe enterprise di nuova generazione - Massimo Brignoli
L'architettura di classe enterprise di nuova generazione - Massimo Brignoli
 

More from Cloudera, Inc.

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxCloudera, Inc.
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Cloudera, Inc.
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Cloudera, Inc.
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
 

More from Cloudera, Inc. (20)

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptx
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18
 

Recently uploaded

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Hyundai Motor Group
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Key Features Of Token Development (1).pptx
Key Features Of Token Development (1).pptxKey Features Of Token Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 

Recently uploaded (20)

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Key Features Of Token Development (1).pptx
Key Features Of Token Development (1).pptxKey Features Of Token Development (1).pptx
Key Features Of Token Development (1).pptx
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 

Hw09 Counting And Clustering And Other Data Tricks

Editor's Notes

  1. The ability to compute across large data is a key to success. Accumulating data is easy. Computing is hard Personify, Omniture, Webtrends - specialized not general computing tools.
  2. Fixed reports are great and we can do that but the really interesting part is asking questions after the fact in an adhoc exploratory manner.
  3. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  4. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  5. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  6. Distribution of page views per users for the July 2009. Most users view 1 Page. Not new but shows we have some mastery over the data.This is based of just user data - 380G of compressed data covering over 700million page views.
  7. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  8. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  9. mapping, collbrative filtering, segementation,
  10. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  11. We have always had data. Collecting data is not a issue for us. We are okay at that part.
  12. We have always had data. Collecting data is not a issue for us. We are okay at that part.