SlideShare a Scribd company logo

2 hadoop@e bay-hug-2010-07-21

•Download as PPT, PDF•
•
H
Hadoop User Group

The document summarizes eBay's Hadoop analytics platform called Athena: 1. Athena is eBay's large Hadoop cluster comprising over 500 nodes that was built in 2010 to power advanced analytics on complex data. 2. The platform runs the Hadoop ecosystem including HDFS, MapReduce, HBase, Pig and Hive for data access and processing. 3. Athena is used for applications like search relevance ranking, data mining and description extraction to enhance eBay's catalog and search capabilities.

Technology
1 of 10
@eBay Anil Madan amadan@ebay.com Analytics Platform Development
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Infrastructure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ecosystem Hadoop Core (HDFS,Common) MapReduce (Java, Streaming, Pipes,Scala) Data Access (Hbase, Pig, Hive) Tools & Libraries (HUE,UC4,Oozie.Mobius,Mahout) Monitoring & Alerting (Ganglia, Nagios) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Administration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Sourcing Patterns Click Stream EDW Images Search Indices Analytics Reporting Algorithmic Models Acquisition Description Source Preparation Format Pattern Click Stream Session Event Session Container Session/Event Streamed as LZO/Text SessionContainer generate Sequence Files Session/Event Data Build an index and use LzoTextInputFormat for splits based on the work done by Johan Oskarsson/Twitter Session Container ‘Value to Type Conversion’ Pattern Secondary sort with reduce side join EDW Item Transaction User Feedback Bids Streamed as GZIP/Text Generate SequenceFile/ Hbase snapshot with previous day snapshot and current day data. Hive StorageHandlers to point to SequenceFile/Hbase snapshot ,[object Object],[object Object],[object Object],[object Object]
Search Use Case – Machine Learned Ranking ClickStream Items Users Feedback Classifiers Ranking Function Great Search Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research Use Case – Description Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],BARBIE 1999 "PREMIERE NIGHT" Home Shopping Special Edition Gorgeous Doll With Beautiful Blond Hair /  In A Gown Of Purple And Silver New / Never Removed From Box / Doll Is In Mint Condition / Remember This Beauty Is 11 Years Old Free Shipping To US Only / Will Ship International / Please E-mail For Cost Feel Free To Ask Me Any Questions Or Concerns Smoke - Free Environment Free Shipping Year: 1999 Model: premiere night Edition: home shopping special Hair: blond Gown: purple and silver Condition: new / never removed from box / mint
Platform Details Metrics Job Statistics, System/Disk Consumption, Utilization Infrastructure Publish/Subscribe ETL tools, low latency data movement Development Tools, Environment, IDE, Architecture Schemas, Metadata, Governance, Policies Operations Administration, Configuration, Monitoring Reporting Visualization, BI Generation, Information delivery Security User & Group Management, Auth & Auth Clusters Details Exploratory Strategic investment 1000-5000 nodes Production Site facing, low latency, high availability Use Case Specific Advertising, Trust & Safety , Merchandizing
Acknowledgments ,[object Object],[object Object],[object Object]

Recommended

1 content optimization-hug-2010-07-21
1 content optimization-hug-2010-07-211 content optimization-hug-2010-07-21
1 content optimization-hug-2010-07-21Hadoop User Group
 
Hadoop at Yahoo! -- Hadoop World NY 2009
Hadoop at Yahoo! -- Hadoop World NY 2009Hadoop at Yahoo! -- Hadoop World NY 2009
Hadoop at Yahoo! -- Hadoop World NY 2009yhadoop
 
Messaging architecture @FB (Fifth Elephant Conference)
Messaging architecture @FB (Fifth Elephant Conference)Messaging architecture @FB (Fifth Elephant Conference)
Messaging architecture @FB (Fifth Elephant Conference)
Joydeep Sen Sarma
 
Open source data ingestion
Open source data ingestionOpen source data ingestion
Open source data ingestionTreasure Data, Inc.
 
Cloud Optimized Big Data
Cloud Optimized Big DataCloud Optimized Big Data
Cloud Optimized Big Data
Joydeep Sen Sarma
 
Dataiku big data paris - the rise of the hadoop ecosystem
Dataiku big data paris - the rise of the hadoop ecosystemDataiku big data paris - the rise of the hadoop ecosystem
Dataiku big data paris - the rise of the hadoop ecosystem
Dataiku
 
Cascalog
CascalogCascalog
Cascalog
nathanmarz
 
Open Source DataViz with Apache Superset
Open Source DataViz with Apache SupersetOpen Source DataViz with Apache Superset
Open Source DataViz with Apache Superset
Carl W. Handlin
 

Recommended

1 content optimization-hug-2010-07-21
1 content optimization-hug-2010-07-211 content optimization-hug-2010-07-21
1 content optimization-hug-2010-07-21Hadoop User Group
 
Hadoop at Yahoo! -- Hadoop World NY 2009
Hadoop at Yahoo! -- Hadoop World NY 2009Hadoop at Yahoo! -- Hadoop World NY 2009
Hadoop at Yahoo! -- Hadoop World NY 2009yhadoop
 
Messaging architecture @FB (Fifth Elephant Conference)
Messaging architecture @FB (Fifth Elephant Conference)Messaging architecture @FB (Fifth Elephant Conference)
Messaging architecture @FB (Fifth Elephant Conference)
Joydeep Sen Sarma
 
Open source data ingestion
Open source data ingestionOpen source data ingestion
Open source data ingestionTreasure Data, Inc.
 
Cloud Optimized Big Data
Cloud Optimized Big DataCloud Optimized Big Data
Cloud Optimized Big Data
Joydeep Sen Sarma
 
Dataiku big data paris - the rise of the hadoop ecosystem
Dataiku big data paris - the rise of the hadoop ecosystemDataiku big data paris - the rise of the hadoop ecosystem
Dataiku big data paris - the rise of the hadoop ecosystem
Dataiku
 
Cascalog
CascalogCascalog
Cascalog
nathanmarz
 
Open Source DataViz with Apache Superset
Open Source DataViz with Apache SupersetOpen Source DataViz with Apache Superset
Open Source DataViz with Apache Superset
Carl W. Handlin
 
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
Cloudera, Inc.
 
Data Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioData Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudio
Winston Chen
 
Hadoop at ayasdi
Hadoop at ayasdiHadoop at ayasdi
Hadoop at ayasdi
Mohit Jaggi
 
The ABC of Big Data
The ABC of Big DataThe ABC of Big Data
The ABC of Big Data
André Faria Gomes
 
Augmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure dataAugmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure data
Treasure Data, Inc.
 
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Christopher Curtin
 
Geek camp
Geek campGeek camp
Geek camp
jdhok
 
Introduction to df
Introduction to dfIntroduction to df
Introduction to df
Mohit Jaggi
 
ImpalaToGo use case
ImpalaToGo use caseImpalaToGo use case
ImpalaToGo use case
David Groozman
 
Putting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at NetflixPutting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at Netflix
Jeff Magnusson
 
NoSQL in Perspective
NoSQL in PerspectiveNoSQL in Perspective
NoSQL in PerspectiveJeff Smith
 
Unifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudUnifying Events and Logs into the Cloud
Unifying Events and Logs into the Cloud
Eduardo Silva Pereira
 
Hw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And HiveHw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And HiveCloudera, Inc.
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
Christopher Curtin
 
Ajug april 2011
Ajug april 2011Ajug april 2011
Ajug april 2011
Christopher Curtin
 
Another Intro To Hadoop
Another Intro To HadoopAnother Intro To Hadoop
Another Intro To Hadoop
Adeel Ahmad
 
Apache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics StackApache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics Stack
Wes McKinney
 
End-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache CassandraEnd-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache CassandraJeremy Hanna
 
Improving data interoperability in Python and R
Improving data interoperability in Python and RImproving data interoperability in Python and R
Improving data interoperability in Python and R
Wes McKinney
 
Building DSLs with Scala
Building DSLs with ScalaBuilding DSLs with Scala
Building DSLs with Scala
Mohit Jaggi
 
HUG August 2010: Best practices
HUG August 2010: Best practicesHUG August 2010: Best practices
HUG August 2010: Best practices
Hadoop User Group
 
Searching At Scale
Searching At ScaleSearching At Scale
Searching At ScaleHadoop User Group
 

More Related Content

What's hot

HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
Cloudera, Inc.
 
Data Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioData Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudio
Winston Chen
 
Hadoop at ayasdi
Hadoop at ayasdiHadoop at ayasdi
Hadoop at ayasdi
Mohit Jaggi
 
The ABC of Big Data
The ABC of Big DataThe ABC of Big Data
The ABC of Big Data
André Faria Gomes
 
Augmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure dataAugmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure data
Treasure Data, Inc.
 
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Christopher Curtin
 
Geek camp
Geek campGeek camp
Geek camp
jdhok
 
Introduction to df
Introduction to dfIntroduction to df
Introduction to df
Mohit Jaggi
 
ImpalaToGo use case
ImpalaToGo use caseImpalaToGo use case
ImpalaToGo use case
David Groozman
 
Putting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at NetflixPutting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at Netflix
Jeff Magnusson
 
NoSQL in Perspective
NoSQL in PerspectiveNoSQL in Perspective
NoSQL in PerspectiveJeff Smith
 
Unifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudUnifying Events and Logs into the Cloud
Unifying Events and Logs into the Cloud
Eduardo Silva Pereira
 
Hw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And HiveHw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And HiveCloudera, Inc.
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
Christopher Curtin
 
Ajug april 2011
Ajug april 2011Ajug april 2011
Ajug april 2011
Christopher Curtin
 
Another Intro To Hadoop
Another Intro To HadoopAnother Intro To Hadoop
Another Intro To Hadoop
Adeel Ahmad
 
Apache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics StackApache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics Stack
Wes McKinney
 
End-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache CassandraEnd-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache CassandraJeremy Hanna
 
Improving data interoperability in Python and R
Improving data interoperability in Python and RImproving data interoperability in Python and R
Improving data interoperability in Python and R
Wes McKinney
 
Building DSLs with Scala
Building DSLs with ScalaBuilding DSLs with Scala
Building DSLs with Scala
Mohit Jaggi
 

What's hot (20)

HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
HBaseCon 2013: Apache Drill - A Community-driven Initiative to Deliver ANSI S...
 
Data Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioData Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudio
 
Hadoop at ayasdi
Hadoop at ayasdiHadoop at ayasdi
Hadoop at ayasdi
 
The ABC of Big Data
The ABC of Big DataThe ABC of Big Data
The ABC of Big Data
 
Augmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure dataAugmenting Mongo DB with treasure data
Augmenting Mongo DB with treasure data
 
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014Redis and Bloom Filters - Atlanta Java Users Group 9/2014
Redis and Bloom Filters - Atlanta Java Users Group 9/2014
 
Geek camp
Geek campGeek camp
Geek camp
 
Introduction to df
Introduction to dfIntroduction to df
Introduction to df
 
ImpalaToGo use case
ImpalaToGo use caseImpalaToGo use case
ImpalaToGo use case
 
Putting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at NetflixPutting Lipstick on Apache Pig at Netflix
Putting Lipstick on Apache Pig at Netflix
 
NoSQL in Perspective
NoSQL in PerspectiveNoSQL in Perspective
NoSQL in Perspective
 
Unifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudUnifying Events and Logs into the Cloud
Unifying Events and Logs into the Cloud
 
Hw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And HiveHw09 Rethinking The Data Warehouse With Hadoop And Hive
Hw09 Rethinking The Data Warehouse With Hadoop And Hive
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
 
Ajug april 2011
Ajug april 2011Ajug april 2011
Ajug april 2011
 
Another Intro To Hadoop
Another Intro To HadoopAnother Intro To Hadoop
Another Intro To Hadoop
 
Apache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics StackApache Arrow: Leveling Up the Analytics Stack
Apache Arrow: Leveling Up the Analytics Stack
 
End-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache CassandraEnd-to-end Analytics with Apache Cassandra
End-to-end Analytics with Apache Cassandra
 
Improving data interoperability in Python and R
Improving data interoperability in Python and RImproving data interoperability in Python and R
Improving data interoperability in Python and R
 
Building DSLs with Scala
Building DSLs with ScalaBuilding DSLs with Scala
Building DSLs with Scala
 

Viewers also liked

HUG August 2010: Best practices
HUG August 2010: Best practicesHUG August 2010: Best practices
HUG August 2010: Best practices
Hadoop User Group
 
Ordered Record Collection
Ordered Record CollectionOrdered Record Collection
Ordered Record Collection
Hadoop User Group
 
Twitter Protobufs And Hadoop Hug 021709
Twitter Protobufs And Hadoop Hug 021709Twitter Protobufs And Hadoop Hug 021709
Twitter Protobufs And Hadoop Hug 021709Hadoop User Group
 
Karmasphere Studio for Hadoop
Karmasphere Studio for HadoopKarmasphere Studio for Hadoop
Karmasphere Studio for Hadoop
Hadoop User Group
 
Hadoop Record Reader In Python
Hadoop Record Reader In PythonHadoop Record Reader In Python
Hadoop Record Reader In PythonHadoop User Group
 
The Bixo Web Mining Toolkit
The Bixo Web Mining ToolkitThe Bixo Web Mining Toolkit
The Bixo Web Mining Toolkit
Tom Croucher
 
Mumak
MumakMumak
Mumak
Hadoop User Group
 
Hadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University TalksHadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University Talksyhadoop
 
Hadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedIn
Hadoop User Group
 
Nov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big DataNov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big DataYahoo Developer Network
 
Upgrading To The New Map Reduce API
Upgrading To The New Map Reduce APIUpgrading To The New Map Reduce API
Upgrading To The New Map Reduce API
Tom Croucher
 
Cloudera Desktop
Cloudera DesktopCloudera Desktop
Cloudera Desktop
Hadoop User Group
 
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...Hadoop User Group
 
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReducePublic Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduceHadoop User Group
 

Viewers also liked (20)

HUG August 2010: Best practices
HUG August 2010: Best practicesHUG August 2010: Best practices
HUG August 2010: Best practices
 
Searching At Scale
Searching At ScaleSearching At Scale
Searching At Scale
 
Ordered Record Collection
Ordered Record CollectionOrdered Record Collection
Ordered Record Collection
 
Twitter Protobufs And Hadoop Hug 021709
Twitter Protobufs And Hadoop Hug 021709Twitter Protobufs And Hadoop Hug 021709
Twitter Protobufs And Hadoop Hug 021709
 
Karmasphere Studio for Hadoop
Karmasphere Studio for HadoopKarmasphere Studio for Hadoop
Karmasphere Studio for Hadoop
 
Hadoop Record Reader In Python
Hadoop Record Reader In PythonHadoop Record Reader In Python
Hadoop Record Reader In Python
 
Hadoop Release Plan Feb17
Hadoop Release Plan Feb17Hadoop Release Plan Feb17
Hadoop Release Plan Feb17
 
The Bixo Web Mining Toolkit
The Bixo Web Mining ToolkitThe Bixo Web Mining Toolkit
The Bixo Web Mining Toolkit
 
Mumak
MumakMumak
Mumak
 
File Context
File ContextFile Context
File Context
 
Hadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University TalksHadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University Talks
 
Hadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedIn
 
Nov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big DataNov 2010 HUG: Business Intelligence for Big Data
Nov 2010 HUG: Business Intelligence for Big Data
 
Nov 2010 HUG: Fuzzy Table - B.A.H
Nov 2010 HUG: Fuzzy Table - B.A.HNov 2010 HUG: Fuzzy Table - B.A.H
Nov 2010 HUG: Fuzzy Table - B.A.H
 
Upgrading To The New Map Reduce API
Upgrading To The New Map Reduce APIUpgrading To The New Map Reduce API
Upgrading To The New Map Reduce API
 
HUG Nov 2010: HDFS Raid - Facebook
HUG Nov 2010: HDFS Raid - FacebookHUG Nov 2010: HDFS Raid - Facebook
HUG Nov 2010: HDFS Raid - Facebook
 
Cloudera Desktop
Cloudera DesktopCloudera Desktop
Cloudera Desktop
 
3 avro hug-2010-07-21
3 avro hug-2010-07-213 avro hug-2010-07-21
3 avro hug-2010-07-21
 
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
 
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReducePublic Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
 

Similar to 2 hadoop@e bay-hug-2010-07-21

Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...
Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...
Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...Yahoo Developer Network
 
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.
 
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023Introduction to Apache Drill - Big Data Bellevue Meetup 20131023
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023Timothy Chen
 
Big Data Meetup #7
Big Data Meetup #7Big Data Meetup #7
Big Data Meetup #7
Paul Lo
 
Fundamentals Of Search
Fundamentals Of SearchFundamentals Of Search
Fundamentals Of Search
Search Tools Consulting
 
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, OathBig Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
Yahoo Developer Network
 
Bigdata
BigdataBigdata
Bigdata
Shankar R
 
Learn Big Data & Hadoop
Learn Big Data & Hadoop Learn Big Data & Hadoop
Learn Big Data & Hadoop
Edureka!
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Timothy Spann
 
President Election of Korea in 2017
President Election of Korea in 2017President Election of Korea in 2017
President Election of Korea in 2017
Jongwook Woo
 
Advanced Web Development
Advanced Web DevelopmentAdvanced Web Development
Advanced Web Development
Robert J. Stein
 
Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big Data
Frank Kienle
 
BigData
BigDataBigData
BigData
Shankar R
 
END-TO-END MACHINE LEARNING STACK
END-TO-END MACHINE LEARNING STACKEND-TO-END MACHINE LEARNING STACK
END-TO-END MACHINE LEARNING STACK
Jan Wiegelmann
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonReal-Time AI Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
Timothy Spann
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big deal
eduarderwee
 
SharePoint Jumpstart #2 Making Basic SharePoint Search Work
SharePoint Jumpstart #2 Making Basic SharePoint Search WorkSharePoint Jumpstart #2 Making Basic SharePoint Search Work
SharePoint Jumpstart #2 Making Basic SharePoint Search Work
Earley Information Science
 
Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...
Zaloni
 
Bigdata.sunil_6+yearsExp
Bigdata.sunil_6+yearsExpBigdata.sunil_6+yearsExp
Bigdata.sunil_6+yearsExpbigdata sunil
 
Testing Big Data: Automated ETL Testing of Hadoop
Testing Big Data: Automated ETL Testing of HadoopTesting Big Data: Automated ETL Testing of Hadoop
Testing Big Data: Automated ETL Testing of Hadoop
Bill Hayduk
 

Similar to 2 hadoop@e bay-hug-2010-07-21 (20)

Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...
Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...
Apache Hadoop India Summit 2011 talk "Hadoop Avatar at eBay" by Srinivasan Re...
 
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...
 
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023Introduction to Apache Drill - Big Data Bellevue Meetup 20131023
Introduction to Apache Drill - Big Data Bellevue Meetup 20131023
 
Big Data Meetup #7
Big Data Meetup #7Big Data Meetup #7
Big Data Meetup #7
 
Fundamentals Of Search
Fundamentals Of SearchFundamentals Of Search
Fundamentals Of Search
 
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, OathBig Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath
 
Bigdata
BigdataBigdata
Bigdata
 
Learn Big Data & Hadoop
Learn Big Data & Hadoop Learn Big Data & Hadoop
Learn Big Data & Hadoop
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 
President Election of Korea in 2017
President Election of Korea in 2017President Election of Korea in 2017
President Election of Korea in 2017
 
Advanced Web Development
Advanced Web DevelopmentAdvanced Web Development
Advanced Web Development
 
Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big Data
 
BigData
BigDataBigData
BigData
 
END-TO-END MACHINE LEARNING STACK
END-TO-END MACHINE LEARNING STACKEND-TO-END MACHINE LEARNING STACK
END-TO-END MACHINE LEARNING STACK
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonReal-Time AI Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big deal
 
SharePoint Jumpstart #2 Making Basic SharePoint Search Work
SharePoint Jumpstart #2 Making Basic SharePoint Search WorkSharePoint Jumpstart #2 Making Basic SharePoint Search Work
SharePoint Jumpstart #2 Making Basic SharePoint Search Work
 
Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...Understanding Metadata: Why it's essential to your big data solution and how ...
Understanding Metadata: Why it's essential to your big data solution and how ...
 
Bigdata.sunil_6+yearsExp
Bigdata.sunil_6+yearsExpBigdata.sunil_6+yearsExp
Bigdata.sunil_6+yearsExp
 
Testing Big Data: Automated ETL Testing of Hadoop
Testing Big Data: Automated ETL Testing of HadoopTesting Big Data: Automated ETL Testing of Hadoop
Testing Big Data: Automated ETL Testing of Hadoop
 

More from Hadoop User Group

Karmasphere hadoop-productivity-tools
Karmasphere hadoop-productivity-toolsKarmasphere hadoop-productivity-tools
Karmasphere hadoop-productivity-toolsHadoop User Group
 
Building a Scalable Web Crawler with Hadoop
Building a Scalable Web Crawler with HadoopBuilding a Scalable Web Crawler with Hadoop
Building a Scalable Web Crawler with Hadoop
Hadoop User Group
 
Pig at Linkedin
Pig at LinkedinPig at Linkedin
Pig at Linkedin
Hadoop User Group
 
1 hadoop security_in_details_hadoop_summit2010
1 hadoop security_in_details_hadoop_summit20101 hadoop security_in_details_hadoop_summit2010
1 hadoop security_in_details_hadoop_summit2010Hadoop User Group
 
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...Hadoop User Group
 
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...Hadoop User Group
 
Hadoop, Hbase and Hive- Bay area Hadoop User Group
Hadoop, Hbase and Hive- Bay area Hadoop User GroupHadoop, Hbase and Hive- Bay area Hadoop User Group
Hadoop, Hbase and Hive- Bay area Hadoop User GroupHadoop User Group
 
Yahoo! Mail antispam - Bay area Hadoop user group
Yahoo! Mail antispam - Bay area Hadoop user groupYahoo! Mail antispam - Bay area Hadoop user group
Yahoo! Mail antispam - Bay area Hadoop user groupHadoop User Group
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
Hadoop User Group
 
Flightcaster Presentation Hadoop
Flightcaster Presentation HadoopFlightcaster Presentation Hadoop
Flightcaster Presentation HadoopHadoop User Group
 
Map Reduce Online
Map Reduce OnlineMap Reduce Online
Map Reduce Online
Hadoop User Group
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
Hadoop User Group
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
Hadoop User Group
 

More from Hadoop User Group (17)

Common crawlpresentation
Common crawlpresentationCommon crawlpresentation
Common crawlpresentation
 
Hdfs high availability
Hdfs high availabilityHdfs high availability
Hdfs high availability
 
Cascalog internal dsl_preso
Cascalog internal dsl_presoCascalog internal dsl_preso
Cascalog internal dsl_preso
 
Karmasphere hadoop-productivity-tools
Karmasphere hadoop-productivity-toolsKarmasphere hadoop-productivity-tools
Karmasphere hadoop-productivity-tools
 
Building a Scalable Web Crawler with Hadoop
Building a Scalable Web Crawler with HadoopBuilding a Scalable Web Crawler with Hadoop
Building a Scalable Web Crawler with Hadoop
 
Hdfs high availability
Hdfs high availabilityHdfs high availability
Hdfs high availability
 
Pig at Linkedin
Pig at LinkedinPig at Linkedin
Pig at Linkedin
 
1 hadoop security_in_details_hadoop_summit2010
1 hadoop security_in_details_hadoop_summit20101 hadoop security_in_details_hadoop_summit2010
1 hadoop security_in_details_hadoop_summit2010
 
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...
Yahoo! Hadoop User Group - May Meetup - HBase and Pig: The Hadoop ecosystem a...
 
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
 
Hadoop, Hbase and Hive- Bay area Hadoop User Group
Hadoop, Hbase and Hive- Bay area Hadoop User GroupHadoop, Hbase and Hive- Bay area Hadoop User Group
Hadoop, Hbase and Hive- Bay area Hadoop User Group
 
Yahoo! Mail antispam - Bay area Hadoop user group
Yahoo! Mail antispam - Bay area Hadoop user groupYahoo! Mail antispam - Bay area Hadoop user group
Yahoo! Mail antispam - Bay area Hadoop user group
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
 
Flightcaster Presentation Hadoop
Flightcaster Presentation HadoopFlightcaster Presentation Hadoop
Flightcaster Presentation Hadoop
 
Map Reduce Online
Map Reduce OnlineMap Reduce Online
Map Reduce Online
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
 
Hadoop Security Preview
Hadoop Security PreviewHadoop Security Preview
Hadoop Security Preview
 

Recently uploaded

Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
ThomasParaiso2
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
nkrafacyberclub
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 

Recently uploaded (20)

Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 

2 hadoop@e bay-hug-2010-07-21

  • 1. @eBay Anil Madan amadan@ebay.com Analytics Platform Development
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Platform Details Metrics Job Statistics, System/Disk Consumption, Utilization Infrastructure Publish/Subscribe ETL tools, low latency data movement Development Tools, Environment, IDE, Architecture Schemas, Metadata, Governance, Policies Operations Administration, Configuration, Monitoring Reporting Visualization, BI Generation, Information delivery Security User & Group Management, Auth & Auth Clusters Details Exploratory Strategic investment 1000-5000 nodes Production Site facing, low latency, high availability Use Case Specific Advertising, Trust & Safety , Merchandizing
  • 10.

Editor's Notes

  1. 07/22/10