SlideShare a Scribd company logo
Architecting the Future of Big Data and Search Eric Baldeschwieler, Hortonworks e14@hortonworks.com, 19 October 2011
What I Will Cover ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Apache Hadoop
Apache Hadoop is… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Apache Hadoop Projects Programming Languages Computation Object Storage Zookeeper  (Coordination) Core Apache Hadoop Related Apache Projects HDFS  (Hadoop Distributed File System) MapReduce (Distributed Programing Framework) Ambari (Management) Table Storage Hive (SQL) Pig (Data Flow) HBase (Columnar Storage) HCatalog (Meta Data)
Example Hardware & Network ,[object Object],[object Object],[object Object],2 * 10GigE 2 * 10GigE 2 * 10GigE 2 * 10GigE ,[object Object],[object Object],[object Object],[object Object],[object Object],… Rack Switch 1-2U server … Rack Switch 1-2U server … Rack Switch 1-2U server … Rack Switch 1-2U server …
MapReduce ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HDFS:  Scalable, Reliable, Managable ,[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],Switch … Switch … Switch … Core Switch Core Switch …
HBase ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History and use cases
A Brief History 2006 – present ,[object Object],[object Object],Apache Hadoop ,[object Object],[object Object],Nascent / 2011 ,[object Object],[object Object],2008 – present … ,[object Object],[object Object],2010 – present … Cloudera, MapR Microsoft IBM, EMC, Oracle
Early Adopters & Uses advertising optimization mail anti-spam video & audio processing  ad selection web search user interest prediction customer trend analysis analyzing web logs content optimization data analytics machine learning data mining text mining social media
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CASE STUDY YAHOO! WEBMAP © Yahoo 2011
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CASE STUDY WEBMAP PROJECT RESULTS © Yahoo 2011
[object Object],CASE STUDY YAHOO SEARCH ASSIST™ © Yahoo 2011 ,[object Object],[object Object],[object Object],Before Hadoop After Hadoop Time 26 days 20 minutes Language C++ Python Development Time 2-3 weeks 2-3 days
HADOOP @ YAHOO! TODAY 40K+ Servers 170 PB Storage 5M+ Monthly Jobs 1000+ Active users © Yahoo 2011
[object Object],CASE STUDY YAHOO! HOMEPAGE ,[object Object],[object Object],[object Object],[object Object],© Yahoo 2011 +160% clicks vs. one size fits all +79%  clicks vs. randomly selected +43% clicks vs. editor selected Recommended links News Interests Top Searches
CASE STUDY YAHOO! HOMEPAGE ,[object Object],[object Object],[object Object],[object Object],USER BEHAVIOR CATEGORIZATION MODELS (weekly) SERVING MAPS (every 5 minutes) USER BEHAVIOR ,[object Object],[object Object],[object Object],© Yahoo 2011 SCIENCE   HADOOP  CLUSTER SERVING SYSTEMS PRODUCTION   HADOOP  CLUSTER ENGAGED USERS
[object Object],CASE STUDY YAHOO! MAIL ,[object Object],[object Object],[object Object],[object Object],© Yahoo 2011 ,[object Object],[object Object],[object Object],SCIENCE   PRODUCTION
Where Hadoop is Going
Adoption Drivers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Gartner predicts  800% data growth  over next 5 years 80-90% of data  produced today  is unstructured
Key Success Factors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Our Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2011 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2012 (Alphas in Q4 2011)
Investigating Apache  Hadoop and Lucene
Developer Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Business Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You ,[object Object],[object Object]

More Related Content

What's hot

Dba to data scientist -Satyendra
Dba to data scientist -SatyendraDba to data scientist -Satyendra
Dba to data scientist -Satyendra
pasalapudi123
 
Azure Cafe Marketplace with Hortonworks March 31 2016
Azure Cafe Marketplace with Hortonworks March 31 2016Azure Cafe Marketplace with Hortonworks March 31 2016
Azure Cafe Marketplace with Hortonworks March 31 2016
Joan Novino
 
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
Hortonworks
 
20140228 - Singapore - BDAS - Ensuring Hadoop Production Success
20140228 - Singapore - BDAS - Ensuring Hadoop Production Success20140228 - Singapore - BDAS - Ensuring Hadoop Production Success
20140228 - Singapore - BDAS - Ensuring Hadoop Production SuccessAllen Day, PhD
 
YARN Ready: Integrating to YARN with Tez
YARN Ready: Integrating to YARN with Tez YARN Ready: Integrating to YARN with Tez
YARN Ready: Integrating to YARN with Tez
Hortonworks
 
Building a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystemBuilding a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystem
Gregg Barrett
 
State of the Union with Shaun Connolly
State of the Union with Shaun ConnollyState of the Union with Shaun Connolly
State of the Union with Shaun Connolly
Hortonworks
 
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataCombine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
Hortonworks
 
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
Innovative Management Services
 
DBA to Data Scientist
DBA to Data ScientistDBA to Data Scientist
DBA to Data Scientist
pasalapudi
 
Hortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
Hortonworks Technical Workshop: Real Time Monitoring with Apache HadoopHortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
Hortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
Hortonworks
 
Webinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_finalWebinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_final
Hortonworks
 
Real World Use Cases: Hadoop and NoSQL in Production
Real World Use Cases: Hadoop and NoSQL in ProductionReal World Use Cases: Hadoop and NoSQL in Production
Real World Use Cases: Hadoop and NoSQL in Production
Codemotion
 
SAP HORTONWORKS
SAP HORTONWORKSSAP HORTONWORKS
SAP HORTONWORKS
Douglas Bernardini
 
YARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARNYARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARN
Hortonworks
 
Apache Hadoop on the Open Cloud
Apache Hadoop on the Open CloudApache Hadoop on the Open Cloud
Apache Hadoop on the Open Cloud
Hortonworks
 
Show me the Money! Cost & Resource Tracking for Hadoop and Storm
Show me the Money! Cost & Resource  Tracking for Hadoop and Storm Show me the Money! Cost & Resource  Tracking for Hadoop and Storm
Show me the Money! Cost & Resource Tracking for Hadoop and Storm
DataWorks Summit/Hadoop Summit
 
Hortonworks Yarn Code Walk Through January 2014
Hortonworks Yarn Code Walk Through January 2014Hortonworks Yarn Code Walk Through January 2014
Hortonworks Yarn Code Walk Through January 2014
Hortonworks
 
Bigger Data For Your Budget
Bigger Data For Your BudgetBigger Data For Your Budget
Bigger Data For Your Budget
Hortonworks
 
Predictive Analytics with Hadoop
Predictive Analytics with HadoopPredictive Analytics with Hadoop
Predictive Analytics with HadoopDataWorks Summit
 

What's hot (20)

Dba to data scientist -Satyendra
Dba to data scientist -SatyendraDba to data scientist -Satyendra
Dba to data scientist -Satyendra
 
Azure Cafe Marketplace with Hortonworks March 31 2016
Azure Cafe Marketplace with Hortonworks March 31 2016Azure Cafe Marketplace with Hortonworks March 31 2016
Azure Cafe Marketplace with Hortonworks March 31 2016
 
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
The Modern Data Architecture for Advanced Business Intelligence with Hortonwo...
 
20140228 - Singapore - BDAS - Ensuring Hadoop Production Success
20140228 - Singapore - BDAS - Ensuring Hadoop Production Success20140228 - Singapore - BDAS - Ensuring Hadoop Production Success
20140228 - Singapore - BDAS - Ensuring Hadoop Production Success
 
YARN Ready: Integrating to YARN with Tez
YARN Ready: Integrating to YARN with Tez YARN Ready: Integrating to YARN with Tez
YARN Ready: Integrating to YARN with Tez
 
Building a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystemBuilding a Big Data platform with the Hadoop ecosystem
Building a Big Data platform with the Hadoop ecosystem
 
State of the Union with Shaun Connolly
State of the Union with Shaun ConnollyState of the Union with Shaun Connolly
State of the Union with Shaun Connolly
 
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataCombine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
 
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
Open-BDA Hadoop Summit 2014 - Mr. Slim Baltagi (Building a Modern Data Archit...
 
DBA to Data Scientist
DBA to Data ScientistDBA to Data Scientist
DBA to Data Scientist
 
Hortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
Hortonworks Technical Workshop: Real Time Monitoring with Apache HadoopHortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
Hortonworks Technical Workshop: Real Time Monitoring with Apache Hadoop
 
Webinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_finalWebinar turbo charging_data_science_hawq_on_hdp_final
Webinar turbo charging_data_science_hawq_on_hdp_final
 
Real World Use Cases: Hadoop and NoSQL in Production
Real World Use Cases: Hadoop and NoSQL in ProductionReal World Use Cases: Hadoop and NoSQL in Production
Real World Use Cases: Hadoop and NoSQL in Production
 
SAP HORTONWORKS
SAP HORTONWORKSSAP HORTONWORKS
SAP HORTONWORKS
 
YARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARNYARN webinar series: Using Scalding to write applications to Hadoop and YARN
YARN webinar series: Using Scalding to write applications to Hadoop and YARN
 
Apache Hadoop on the Open Cloud
Apache Hadoop on the Open CloudApache Hadoop on the Open Cloud
Apache Hadoop on the Open Cloud
 
Show me the Money! Cost & Resource Tracking for Hadoop and Storm
Show me the Money! Cost & Resource  Tracking for Hadoop and Storm Show me the Money! Cost & Resource  Tracking for Hadoop and Storm
Show me the Money! Cost & Resource Tracking for Hadoop and Storm
 
Hortonworks Yarn Code Walk Through January 2014
Hortonworks Yarn Code Walk Through January 2014Hortonworks Yarn Code Walk Through January 2014
Hortonworks Yarn Code Walk Through January 2014
 
Bigger Data For Your Budget
Bigger Data For Your BudgetBigger Data For Your Budget
Bigger Data For Your Budget
 
Predictive Analytics with Hadoop
Predictive Analytics with HadoopPredictive Analytics with Hadoop
Predictive Analytics with Hadoop
 

Similar to Architecting the Future of Big Data and Search

Eric Baldeschwieler Keynote from Storage Developers Conference
Eric Baldeschwieler Keynote from Storage Developers ConferenceEric Baldeschwieler Keynote from Storage Developers Conference
Eric Baldeschwieler Keynote from Storage Developers Conference
Hortonworks
 
Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1
Thanh Nguyen
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony Nguyen
Thanh Nguyen
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1Thanh Nguyen
 
Hadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log ProcessingHadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log Processing
Hitendra Kumar
 
Big Data and Hadoop
Big Data and HadoopBig Data and Hadoop
Big Data and Hadoop
Flavio Vit
 
M. Florence Dayana - Hadoop Foundation for Analytics.pptx
M. Florence Dayana - Hadoop Foundation for Analytics.pptxM. Florence Dayana - Hadoop Foundation for Analytics.pptx
M. Florence Dayana - Hadoop Foundation for Analytics.pptx
Dr.Florence Dayana
 
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
 
Hw09 Hadoop Applications At Yahoo!
Hw09   Hadoop Applications At Yahoo!Hw09   Hadoop Applications At Yahoo!
Hw09 Hadoop Applications At Yahoo!Cloudera, Inc.
 
Stratebi Big Data
Stratebi Big DataStratebi Big Data
Stratebi Big Data
Stratebi
 
Hadoop @ Yahoo! - Internet Scale Data Processing
Hadoop @ Yahoo! - Internet Scale Data ProcessingHadoop @ Yahoo! - Internet Scale Data Processing
Hadoop @ Yahoo! - Internet Scale Data Processing
Yahoo Developer Network
 
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
amrutupre
 
Hadoop ecosystem framework n hadoop in live environment
Hadoop ecosystem framework  n hadoop in live environmentHadoop ecosystem framework  n hadoop in live environment
Hadoop ecosystem framework n hadoop in live environment
Delhi/NCR HUG
 
Big data
Big dataBig data
Big data
Abilash Mavila
 
Hadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University TalksHadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University Talksyhadoop
 
Data infrastructure at Facebook
Data infrastructure at Facebook Data infrastructure at Facebook
Data infrastructure at Facebook
AhmedDoukh
 
Hortonworks - What's Possible with a Modern Data Architecture?
Hortonworks - What's Possible with a Modern Data Architecture?Hortonworks - What's Possible with a Modern Data Architecture?
Hortonworks - What's Possible with a Modern Data Architecture?
Hortonworks
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big deal
eduarderwee
 
Hadoop and Big Data: Revealed
Hadoop and Big Data: RevealedHadoop and Big Data: Revealed
Hadoop and Big Data: Revealed
Sachin Holla
 

Similar to Architecting the Future of Big Data and Search (20)

Eric Baldeschwieler Keynote from Storage Developers Conference
Eric Baldeschwieler Keynote from Storage Developers ConferenceEric Baldeschwieler Keynote from Storage Developers Conference
Eric Baldeschwieler Keynote from Storage Developers Conference
 
Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1Overview of Big data, Hadoop and Microsoft BI - version1
Overview of Big data, Hadoop and Microsoft BI - version1
 
Overview of big data & hadoop version 1 - Tony Nguyen
Overview of big data & hadoop   version 1 - Tony NguyenOverview of big data & hadoop   version 1 - Tony Nguyen
Overview of big data & hadoop version 1 - Tony Nguyen
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1
 
Hadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log ProcessingHadoop a Natural Choice for Data Intensive Log Processing
Hadoop a Natural Choice for Data Intensive Log Processing
 
Big Data and Hadoop
Big Data and HadoopBig Data and Hadoop
Big Data and Hadoop
 
M. Florence Dayana - Hadoop Foundation for Analytics.pptx
M. Florence Dayana - Hadoop Foundation for Analytics.pptxM. Florence Dayana - Hadoop Foundation for Analytics.pptx
M. Florence Dayana - Hadoop Foundation for Analytics.pptx
 
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 2009
 
Hw09 Hadoop Applications At Yahoo!
Hw09   Hadoop Applications At Yahoo!Hw09   Hadoop Applications At Yahoo!
Hw09 Hadoop Applications At Yahoo!
 
Stratebi Big Data
Stratebi Big DataStratebi Big Data
Stratebi Big Data
 
Hadoop @ Yahoo! - Internet Scale Data Processing
Hadoop @ Yahoo! - Internet Scale Data ProcessingHadoop @ Yahoo! - Internet Scale Data Processing
Hadoop @ Yahoo! - Internet Scale Data Processing
 
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
Big-Data Hadoop Tutorials - MindScripts Technologies, Pune
 
Hadoop ecosystem framework n hadoop in live environment
Hadoop ecosystem framework  n hadoop in live environmentHadoop ecosystem framework  n hadoop in live environment
Hadoop ecosystem framework n hadoop in live environment
 
Big data
Big dataBig data
Big data
 
Hadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University TalksHadoop at Yahoo! -- University Talks
Hadoop at Yahoo! -- University Talks
 
Data infrastructure at Facebook
Data infrastructure at Facebook Data infrastructure at Facebook
Data infrastructure at Facebook
 
Hortonworks - What's Possible with a Modern Data Architecture?
Hortonworks - What's Possible with a Modern Data Architecture?Hortonworks - What's Possible with a Modern Data Architecture?
Hortonworks - What's Possible with a Modern Data Architecture?
 
Hadoop
HadoopHadoop
Hadoop
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big deal
 
Hadoop and Big Data: Revealed
Hadoop and Big Data: RevealedHadoop and Big Data: Revealed
Hadoop and Big Data: Revealed
 

More from Hortonworks

Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks
 
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyIoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
Hortonworks
 
Getting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with CloudbreakGetting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with Cloudbreak
Hortonworks
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log Events
Hortonworks
 
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysCatch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Hortonworks
 
HDF 3.2 - What's New
HDF 3.2 - What's NewHDF 3.2 - What's New
HDF 3.2 - What's New
Hortonworks
 
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerCuring Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
Hortonworks
 
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsInterpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
Hortonworks
 
IBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data LandscapeIBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data Landscape
Hortonworks
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache Druid
Hortonworks
 
Accelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at ScaleAccelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at Scale
Hortonworks
 
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATATIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
Hortonworks
 
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Hortonworks
 
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseDelivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Hortonworks
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with Ease
Hortonworks
 
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World PresentationWebinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
Hortonworks
 
Driving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data ManagementDriving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data Management
Hortonworks
 
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
Hortonworks
 
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks
 
Unlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDCUnlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDC
Hortonworks
 

More from Hortonworks (20)

Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next Level
 
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyIoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
 
Getting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with CloudbreakGetting the Most Out of Your Data in the Cloud with Cloudbreak
Getting the Most Out of Your Data in the Cloud with Cloudbreak
 
Johns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log EventsJohns Hopkins - Using Hadoop to Secure Access Log Events
Johns Hopkins - Using Hadoop to Secure Access Log Events
 
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysCatch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad Guys
 
HDF 3.2 - What's New
HDF 3.2 - What's NewHDF 3.2 - What's New
HDF 3.2 - What's New
 
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerCuring Kafka Blindness with Hortonworks Streams Messaging Manager
Curing Kafka Blindness with Hortonworks Streams Messaging Manager
 
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsInterpretation Tool for Genomic Sequencing Data in Clinical Environments
Interpretation Tool for Genomic Sequencing Data in Clinical Environments
 
IBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data LandscapeIBM+Hortonworks = Transformation of the Big Data Landscape
IBM+Hortonworks = Transformation of the Big Data Landscape
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache Druid
 
Accelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at ScaleAccelerating Data Science and Real Time Analytics at Scale
Accelerating Data Science and Real Time Analytics at Scale
 
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATATIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATA
 
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...
 
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseDelivering Real-Time Streaming Data for Healthcare Customers: Clearsense
Delivering Real-Time Streaming Data for Healthcare Customers: Clearsense
 
Making Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with EaseMaking Enterprise Big Data Small with Ease
Making Enterprise Big Data Small with Ease
 
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World PresentationWebinewbie to Webinerd in 30 Days - Webinar World Presentation
Webinewbie to Webinerd in 30 Days - Webinar World Presentation
 
Driving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data ManagementDriving Digital Transformation Through Global Data Management
Driving Digital Transformation Through Global Data Management
 
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming Features
 
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...
 
Unlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDCUnlock Value from Big Data with Apache NiFi and Streaming CDC
Unlock Value from Big Data with Apache NiFi and Streaming CDC
 

Recently uploaded

Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
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
 
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
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
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
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
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
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 

Recently uploaded (20)

Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
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
 
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...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
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
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
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
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 

Architecting the Future of Big Data and Search

  • 1. Architecting the Future of Big Data and Search Eric Baldeschwieler, Hortonworks e14@hortonworks.com, 19 October 2011
  • 2.
  • 3. What is Apache Hadoop
  • 4.
  • 5. More Apache Hadoop Projects Programming Languages Computation Object Storage Zookeeper (Coordination) Core Apache Hadoop Related Apache Projects HDFS (Hadoop Distributed File System) MapReduce (Distributed Programing Framework) Ambari (Management) Table Storage Hive (SQL) Pig (Data Flow) HBase (Columnar Storage) HCatalog (Meta Data)
  • 6.
  • 7.
  • 8.
  • 9.
  • 11.
  • 12. Early Adopters & Uses advertising optimization mail anti-spam video & audio processing ad selection web search user interest prediction customer trend analysis analyzing web logs content optimization data analytics machine learning data mining text mining social media
  • 13.
  • 14.
  • 15.
  • 16. HADOOP @ YAHOO! TODAY 40K+ Servers 170 PB Storage 5M+ Monthly Jobs 1000+ Active users © Yahoo 2011
  • 17.
  • 18.
  • 19.
  • 21.
  • 22.
  • 23.
  • 24. Investigating Apache Hadoop and Lucene
  • 25.
  • 26.
  • 27.

Editor's Notes

  1. Arun to develop
  2. Tell inception story, plan to differentiate Yahoo, recruit talent, insure that Y! was not built on legacy private system From YST