SlideShare una empresa de Scribd logo
1 de 33
Descargar para leer sin conexión
Apache Hadoop Today & Tomorrow ,[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Apache Hadoop? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is it used for? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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) HMS (Management) Table Storage Hive (SQL) Pig (Data Flow) HBase (Columnar Storage) HCatalog (Meta Data)
Where Hadoop is Used
Everywhere! 2006 2008 2009 2010 The Datagraph Blog 2007
HADOOP @ YAHOO! 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
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 …
Traditional Enterprise Architecture Data Silos + ETL Serving Applications Unstructured Systems Traditional ETL & Message buses Traditional ETL & Message buses EDW Data Marts BI /  Analytics Traditional Data Warehouses,  BI & Analytics Serving Logs Social Media Sensor Data Text Systems …
Serving Applications Unstructured Systems Traditional ETL & Message buses Traditional ETL & Message buses Hadoop Enterprise Architecture Connecting All of Your Big Data  EDW Data Marts BI /  Analytics Traditional Data Warehouses,  BI & Analytics Apache Hadoop EsTsL (s = Store)  Custom Analytics Serving Logs Social Media Sensor Data Text Systems …
Serving Applications Unstructured Systems 80-90% of data  produced today  is unstructured Gartner predicts  800% data growth  over next 5 years Traditional ETL & Message buses Traditional ETL & Message buses Hadoop Enterprise Architecture Connecting All of Your Big Data  EDW Data Marts BI /  Analytics Traditional Data Warehouses,  BI & Analytics Serving Logs Social Media Sensor Data Text Systems … Apache Hadoop EsTsL (s = Store)  Custom Analytics
What is Driving Adoption? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Big Data Platforms Cost per TB, Adoption Size of bubble = cost effectiveness of solution Source:
Apache Hadoop Core
Overview ,[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 …
Map/Reduce ,[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 …
HDFS Use Cases ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HDFS Architecture Persistent Namespace Metadata & Journal Namespace State Datanodes ,[object Object],[object Object],[object Object],Horizontally Scale IO and Storage Block Storage Namespace Namenode Block Map Heartbeats & Block Reports ,[object Object],NFS b1 b5 b3 JBOD b2 b3 b1 JBOD b3 b5 b2 JBOD b1 b5 b2 JBOD
Client Read & Write  Directly   from  Closest  Server Namespace State Horizontally Scale IO and Storage Client 1 open 2 read Client 2 write 1 create End-to-end checksum Namenode Block Map b1 b5 b3 JBOD b2 b3 b1 JBOD b3 b5 b2 JBOD b1 b5 b2 JBOD
Actively maintain data reliability Namespace State Bad/lost block replica Periodically check block checksums Namenode Block Map b1 b5 b3 JBOD b2 b3 b4 JBOD b3 b5 b2 JBOD b1 b5 b2 JBOD 2. copy 3. blockReceived 1. replicate
HBase ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What’s Next
About Hortonworks – Basics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Game Plan ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lines of Code Contributed to  Apache Hadoop
Apache Hadoop Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],2011 ,[object Object],[object Object],[object Object],[object Object],2012 (Alphas in Q4 2011)
Next-Generation Hadoop ,[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]
Thank You! ,[object Object],[object Object],[object Object]

Más contenido relacionado

La actualidad más candente

Discover.hdp2.2.storm and kafka.final
Discover.hdp2.2.storm and kafka.finalDiscover.hdp2.2.storm and kafka.final
Discover.hdp2.2.storm and kafka.finalHortonworks
 
Analytics Modernization: Configuring SAS® Grid Manager for Hadoop
Analytics Modernization: Configuring SAS® Grid Manager for HadoopAnalytics Modernization: Configuring SAS® Grid Manager for Hadoop
Analytics Modernization: Configuring SAS® Grid Manager for HadoopHortonworks
 
Apache Hadoop on the Open Cloud
Apache Hadoop on the Open CloudApache Hadoop on the Open Cloud
Apache Hadoop on the Open CloudHortonworks
 
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.next
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.nextDiscover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.next
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.nextHortonworks
 
Streamline Apache Hadoop Operations with Apache Ambari and SmartSense
Streamline Apache Hadoop Operations with Apache Ambari and SmartSenseStreamline Apache Hadoop Operations with Apache Ambari and SmartSense
Streamline Apache Hadoop Operations with Apache Ambari and SmartSenseHortonworks
 
Edw Optimization Solution
Edw Optimization Solution Edw Optimization Solution
Edw Optimization Solution Hortonworks
 
Powering Big Data Success On-Prem and in the Cloud
Powering Big Data Success On-Prem and in the CloudPowering Big Data Success On-Prem and in the Cloud
Powering Big Data Success On-Prem and in the CloudHortonworks
 
2015 02 12 talend hortonworks webinar challenges to hadoop adoption
2015 02 12 talend hortonworks webinar challenges to hadoop adoption2015 02 12 talend hortonworks webinar challenges to hadoop adoption
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
 
Hortonworks and Platfora in Financial Services - Webinar
Hortonworks and Platfora in Financial Services - WebinarHortonworks and Platfora in Financial Services - Webinar
Hortonworks and Platfora in Financial Services - WebinarHortonworks
 
Hp Converged Systems and Hortonworks - Webinar Slides
Hp Converged Systems and Hortonworks - Webinar SlidesHp Converged Systems and Hortonworks - Webinar Slides
Hp Converged Systems and Hortonworks - Webinar SlidesHortonworks
 
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...Hortonworks
 
EDW Optimization: A Modern Twist on an Old Favorite
EDW Optimization: A Modern Twist on an Old FavoriteEDW Optimization: A Modern Twist on an Old Favorite
EDW Optimization: A Modern Twist on an Old FavoriteHortonworks
 
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
 
The Destiny of Data
The Destiny of DataThe Destiny of Data
The Destiny of DataHortonworks
 
Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications Hortonworks
 
Splunk-hortonworks-risk-management-oct-2014
Splunk-hortonworks-risk-management-oct-2014Splunk-hortonworks-risk-management-oct-2014
Splunk-hortonworks-risk-management-oct-2014Hortonworks
 
Don't Let Security Be The 'Elephant in the Room'
Don't Let Security Be The 'Elephant in the Room'Don't Let Security Be The 'Elephant in the Room'
Don't Let Security Be The 'Elephant in the Room'Hortonworks
 
Verizon Centralizes Data into a Data Lake in Real Time for Analytics
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsVerizon Centralizes Data into a Data Lake in Real Time for Analytics
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsHortonworks
 
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
Predictive Analytics and Machine Learning…with SAS and Apache HadoopPredictive Analytics and Machine Learning…with SAS and Apache Hadoop
Predictive Analytics and Machine Learning …with SAS and Apache HadoopHortonworks
 
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...Hortonworks
 

La actualidad más candente (20)

Discover.hdp2.2.storm and kafka.final
Discover.hdp2.2.storm and kafka.finalDiscover.hdp2.2.storm and kafka.final
Discover.hdp2.2.storm and kafka.final
 
Analytics Modernization: Configuring SAS® Grid Manager for Hadoop
Analytics Modernization: Configuring SAS® Grid Manager for HadoopAnalytics Modernization: Configuring SAS® Grid Manager for Hadoop
Analytics Modernization: Configuring SAS® Grid Manager for Hadoop
 
Apache Hadoop on the Open Cloud
Apache Hadoop on the Open CloudApache Hadoop on the Open Cloud
Apache Hadoop on the Open Cloud
 
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.next
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.nextDiscover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.next
Discover HDP 2.2: Even Faster SQL Queries with Apache Hive and Stinger.next
 
Streamline Apache Hadoop Operations with Apache Ambari and SmartSense
Streamline Apache Hadoop Operations with Apache Ambari and SmartSenseStreamline Apache Hadoop Operations with Apache Ambari and SmartSense
Streamline Apache Hadoop Operations with Apache Ambari and SmartSense
 
Edw Optimization Solution
Edw Optimization Solution Edw Optimization Solution
Edw Optimization Solution
 
Powering Big Data Success On-Prem and in the Cloud
Powering Big Data Success On-Prem and in the CloudPowering Big Data Success On-Prem and in the Cloud
Powering Big Data Success On-Prem and in the Cloud
 
2015 02 12 talend hortonworks webinar challenges to hadoop adoption
2015 02 12 talend hortonworks webinar challenges to hadoop adoption2015 02 12 talend hortonworks webinar challenges to hadoop adoption
2015 02 12 talend hortonworks webinar challenges to hadoop adoption
 
Hortonworks and Platfora in Financial Services - Webinar
Hortonworks and Platfora in Financial Services - WebinarHortonworks and Platfora in Financial Services - Webinar
Hortonworks and Platfora in Financial Services - Webinar
 
Hp Converged Systems and Hortonworks - Webinar Slides
Hp Converged Systems and Hortonworks - Webinar SlidesHp Converged Systems and Hortonworks - Webinar Slides
Hp Converged Systems and Hortonworks - Webinar Slides
 
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...
Getting to What Matters: Accelerating Your Path Through the Big Data Lifecycl...
 
EDW Optimization: A Modern Twist on an Old Favorite
EDW Optimization: A Modern Twist on an Old FavoriteEDW Optimization: A Modern Twist on an Old Favorite
EDW Optimization: A Modern Twist on an Old Favorite
 
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?
 
The Destiny of Data
The Destiny of DataThe Destiny of Data
The Destiny of Data
 
Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications
 
Splunk-hortonworks-risk-management-oct-2014
Splunk-hortonworks-risk-management-oct-2014Splunk-hortonworks-risk-management-oct-2014
Splunk-hortonworks-risk-management-oct-2014
 
Don't Let Security Be The 'Elephant in the Room'
Don't Let Security Be The 'Elephant in the Room'Don't Let Security Be The 'Elephant in the Room'
Don't Let Security Be The 'Elephant in the Room'
 
Verizon Centralizes Data into a Data Lake in Real Time for Analytics
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsVerizon Centralizes Data into a Data Lake in Real Time for Analytics
Verizon Centralizes Data into a Data Lake in Real Time for Analytics
 
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
Predictive Analytics and Machine Learning…with SAS and Apache HadoopPredictive Analytics and Machine Learning…with SAS and Apache Hadoop
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
 
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...
Discover Enterprise Security Features in Hortonworks Data Platform 2.1: Apach...
 

Similar a Eric Baldeschwieler Keynote from Storage Developers Conference

Architecting the Future of Big Data and Search
Architecting the Future of Big Data and SearchArchitecting the Future of Big Data and Search
Architecting the Future of Big Data and SearchHortonworks
 
Hive @ Hadoop day seattle_2010
Hive @ Hadoop day seattle_2010Hive @ Hadoop day seattle_2010
Hive @ Hadoop day seattle_2010nzhang
 
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 - version1Thanh 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 NguyenThanh Nguyen
 
Big Data and Hadoop
Big Data and HadoopBig Data and Hadoop
Big Data and HadoopFlavio Vit
 
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
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big dealeduarderwee
 
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 ProcessingHitendra Kumar
 
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.
 
Hadoop and BigData - July 2016
Hadoop and BigData - July 2016Hadoop and BigData - July 2016
Hadoop and BigData - July 2016Ranjith Sekar
 
Big Data - HDInsight and Power BI
Big Data - HDInsight and Power BIBig Data - HDInsight and Power BI
Big Data - HDInsight and Power BIPrasad Prabhu (PP)
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1Thanh Nguyen
 
How Hadoop Revolutionized Data Warehousing at Yahoo and Facebook
How Hadoop Revolutionized Data Warehousing at Yahoo and FacebookHow Hadoop Revolutionized Data Warehousing at Yahoo and Facebook
How Hadoop Revolutionized Data Warehousing at Yahoo and FacebookAmr Awadallah
 
Trafodion overview
Trafodion overviewTrafodion overview
Trafodion overviewRohit Jain
 
Stratebi Big Data
Stratebi Big DataStratebi Big Data
Stratebi Big DataStratebi
 
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.
 
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 environmentDelhi/NCR HUG
 
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.
 
Hadoop: An Industry Perspective
Hadoop: An Industry PerspectiveHadoop: An Industry Perspective
Hadoop: An Industry PerspectiveCloudera, Inc.
 

Similar a Eric Baldeschwieler Keynote from Storage Developers Conference (20)

Architecting the Future of Big Data and Search
Architecting the Future of Big Data and SearchArchitecting the Future of Big Data and Search
Architecting the Future of Big Data and Search
 
Hive @ Hadoop day seattle_2010
Hive @ Hadoop day seattle_2010Hive @ Hadoop day seattle_2010
Hive @ Hadoop day seattle_2010
 
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
 
Big Data and Hadoop
Big Data and HadoopBig Data and Hadoop
Big Data and Hadoop
 
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
 
Big data or big deal
Big data or big dealBig data or big deal
Big data or big deal
 
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
 
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...
 
Hadoop and BigData - July 2016
Hadoop and BigData - July 2016Hadoop and BigData - July 2016
Hadoop and BigData - July 2016
 
Big Data - HDInsight and Power BI
Big Data - HDInsight and Power BIBig Data - HDInsight and Power BI
Big Data - HDInsight and Power BI
 
Overview of big data & hadoop v1
Overview of big data & hadoop   v1Overview of big data & hadoop   v1
Overview of big data & hadoop v1
 
How Hadoop Revolutionized Data Warehousing at Yahoo and Facebook
How Hadoop Revolutionized Data Warehousing at Yahoo and FacebookHow Hadoop Revolutionized Data Warehousing at Yahoo and Facebook
How Hadoop Revolutionized Data Warehousing at Yahoo and Facebook
 
Hadoop_arunam_ppt
Hadoop_arunam_pptHadoop_arunam_ppt
Hadoop_arunam_ppt
 
Trafodion overview
Trafodion overviewTrafodion overview
Trafodion overview
 
Stratebi Big Data
Stratebi Big DataStratebi Big Data
Stratebi Big Data
 
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
 
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
 
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...
 
Hadoop: An Industry Perspective
Hadoop: An Industry PerspectiveHadoop: An Industry Perspective
Hadoop: An Industry Perspective
 

Más de 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 LevelHortonworks
 
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 StrategyHortonworks
 
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 CloudbreakHortonworks
 
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 EventsHortonworks
 
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 GuysHortonworks
 
HDF 3.2 - What's New
HDF 3.2 - What's NewHDF 3.2 - What's New
HDF 3.2 - What's NewHortonworks
 
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 ManagerHortonworks
 
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 EnvironmentsHortonworks
 
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 LandscapeHortonworks
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidHortonworks
 
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 ScaleHortonworks
 
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 DATAHortonworks
 
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: ClearsenseHortonworks
 
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 EaseHortonworks
 
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 PresentationHortonworks
 
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 ManagementHortonworks
 
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 FeaturesHortonworks
 
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 CDCHortonworks
 

Más de 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
 

Último

CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024Brian Pichman
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechProduct School
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Alkin Tezuysal
 
Stobox 4: Revolutionizing Investment in Real-World Assets Through Tokenization
Stobox 4: Revolutionizing Investment in Real-World Assets Through TokenizationStobox 4: Revolutionizing Investment in Real-World Assets Through Tokenization
Stobox 4: Revolutionizing Investment in Real-World Assets Through TokenizationStobox
 
Introduction to RAG (Retrieval Augmented Generation) and its application
Introduction to RAG (Retrieval Augmented Generation) and its applicationIntroduction to RAG (Retrieval Augmented Generation) and its application
Introduction to RAG (Retrieval Augmented Generation) and its applicationKnoldus Inc.
 
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInOutage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInThousandEyes
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and businessFrancesco Corti
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Libraryshyamraj55
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxNeo4j
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveIES VE
 
Oracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxOracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxSatishbabu Gunukula
 
Flow Control | Block Size | ST Min | First Frame
Flow Control | Block Size | ST Min | First FrameFlow Control | Block Size | ST Min | First Frame
Flow Control | Block Size | ST Min | First FrameKapil Thakar
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updateadam112203
 
How to become a GDSC Lead GDSC MI AOE.pptx
How to become a GDSC Lead GDSC MI AOE.pptxHow to become a GDSC Lead GDSC MI AOE.pptx
How to become a GDSC Lead GDSC MI AOE.pptxKaustubhBhavsar6
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch TuesdayIvanti
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightSafe Software
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)IES VE
 
The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)codyslingerland1
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FESTBillieHyde
 
EMEA What is ThousandEyes? Webinar
EMEA What is ThousandEyes? WebinarEMEA What is ThousandEyes? Webinar
EMEA What is ThousandEyes? WebinarThousandEyes
 

Último (20)

CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
 
Stobox 4: Revolutionizing Investment in Real-World Assets Through Tokenization
Stobox 4: Revolutionizing Investment in Real-World Assets Through TokenizationStobox 4: Revolutionizing Investment in Real-World Assets Through Tokenization
Stobox 4: Revolutionizing Investment in Real-World Assets Through Tokenization
 
Introduction to RAG (Retrieval Augmented Generation) and its application
Introduction to RAG (Retrieval Augmented Generation) and its applicationIntroduction to RAG (Retrieval Augmented Generation) and its application
Introduction to RAG (Retrieval Augmented Generation) and its application
 
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInOutage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and business
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Library
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
 
Oracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptxOracle Database 23c Security New Features.pptx
Oracle Database 23c Security New Features.pptx
 
Flow Control | Block Size | ST Min | First Frame
Flow Control | Block Size | ST Min | First FrameFlow Control | Block Size | ST Min | First Frame
Flow Control | Block Size | ST Min | First Frame
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 update
 
How to become a GDSC Lead GDSC MI AOE.pptx
How to become a GDSC Lead GDSC MI AOE.pptxHow to become a GDSC Lead GDSC MI AOE.pptx
How to become a GDSC Lead GDSC MI AOE.pptx
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch Tuesday
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)
 
The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FEST
 
EMEA What is ThousandEyes? Webinar
EMEA What is ThousandEyes? WebinarEMEA What is ThousandEyes? Webinar
EMEA What is ThousandEyes? Webinar
 

Eric Baldeschwieler Keynote from Storage Developers Conference

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. 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) HMS (Management) Table Storage Hive (SQL) Pig (Data Flow) HBase (Columnar Storage) HCatalog (Meta Data)
  • 7. Everywhere! 2006 2008 2009 2010 The Datagraph Blog 2007
  • 8. HADOOP @ YAHOO! 40K+ Servers 170 PB Storage 5M+ Monthly Jobs 1000+ Active users © Yahoo 2011
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. Traditional Enterprise Architecture Data Silos + ETL Serving Applications Unstructured Systems Traditional ETL & Message buses Traditional ETL & Message buses EDW Data Marts BI / Analytics Traditional Data Warehouses, BI & Analytics Serving Logs Social Media Sensor Data Text Systems …
  • 14. Serving Applications Unstructured Systems Traditional ETL & Message buses Traditional ETL & Message buses Hadoop Enterprise Architecture Connecting All of Your Big Data EDW Data Marts BI / Analytics Traditional Data Warehouses, BI & Analytics Apache Hadoop EsTsL (s = Store) Custom Analytics Serving Logs Social Media Sensor Data Text Systems …
  • 15. Serving Applications Unstructured Systems 80-90% of data produced today is unstructured Gartner predicts 800% data growth over next 5 years Traditional ETL & Message buses Traditional ETL & Message buses Hadoop Enterprise Architecture Connecting All of Your Big Data EDW Data Marts BI / Analytics Traditional Data Warehouses, BI & Analytics Serving Logs Social Media Sensor Data Text Systems … Apache Hadoop EsTsL (s = Store) Custom Analytics
  • 16.
  • 17. Big Data Platforms Cost per TB, Adoption Size of bubble = cost effectiveness of solution Source:
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24. Client Read & Write Directly from Closest Server Namespace State Horizontally Scale IO and Storage Client 1 open 2 read Client 2 write 1 create End-to-end checksum Namenode Block Map b1 b5 b3 JBOD b2 b3 b1 JBOD b3 b5 b2 JBOD b1 b5 b2 JBOD
  • 25. Actively maintain data reliability Namespace State Bad/lost block replica Periodically check block checksums Namenode Block Map b1 b5 b3 JBOD b2 b3 b4 JBOD b3 b5 b2 JBOD b1 b5 b2 JBOD 2. copy 3. blockReceived 1. replicate
  • 26.
  • 28.
  • 29.
  • 30. Lines of Code Contributed to Apache Hadoop
  • 31.
  • 32.
  • 33.

Notas del editor

  1. Introduce self, background. Thanks SDC, attendees, etc.
  2. Tell inception story, plan to differentiate Yahoo, recruit talent, insure that Y! was not built on legacy private system From YST
  3. Look for Analyst/Gartner data on growing cost…..
  4. The data nodes not have RAID, just JBOD
  5. The data nodes not have RAID, just JBOD
  6. The data nodes not have RAID, just JBOD
  7. Arun to develop
  8. Our commitment to Apache has already changed the market! Ultimately contributing the code that maters and making it work is the currency in open source