SlideShare a Scribd company logo
1 of 10
Apache Hadoop HBase
● What is it ?
● Why use it ?
● Architecture
● Storage
● Related Projects
Hbase – What is it ?
● A Hadoop Data Store
● A noSQL store for big data
● It is Open Source, written in Java
● It is a distributed database
● Automatic sharding, table data spread over cluster
● Automatic region server fail over
Hbase – Why / When use it ?
● Data in billions of rows
● Complex data
● High volume of I/O
● High level of data nodes, 5 +
● No need for extra RDBMS functions i.e. transactions
HBase – Architecture
Where does Hbase sit in relation to Hadoop ?
HBase – Architecture
● HBase is a data store
● Uses Hadoop for distributed storage
● Data stored across region servers
● Region server data spread across HDFS data nodes
● A write ahead log (WAL) is used to record changes
HBase – Storage
● What is the architecture ?
HBase – Storage
● Client makes call i.e. put
● Request RPC'ed as key value to Region server
● Key Value routed to region for row
● Data is written to WAL
● Data written to region memStore
● If region server cashes WAL can be used to recover data
HBase – Related Projects
● Apache Flume – move large data sets to Hadoop
● Apache Sqoop – cmd line, move rdbms data to Hadoop
● Apache Hbase – Non relational database
● Apache Pig – analyse large data sets
● Apache Oozie – work flow scheduler
● Apache Mahout – machine learning and data mining
● Apache Hue – Hadoop user interface
● Apache Zoo Keeper – configuration / build
Contact Us
● Feel free to contact us at
– www.semtech-solutions.co.nz
– info@semtech-solutions.co.nz
● We offer IT project consultancy
● We are happy to hear about your problems
● You can just pay for those hours that you need
● To solve your problems
Contact Us
● Feel free to contact us at
– www.semtech-solutions.co.nz
– info@semtech-solutions.co.nz
● We offer IT project consultancy
● We are happy to hear about your problems
● You can just pay for those hours that you need
● To solve your problems

More Related Content

More from Mike Frampton

More from Mike Frampton (20)

Apache Singa AI
Apache Singa AIApache Singa AI
Apache Singa AI
 
Apache Ranger
Apache RangerApache Ranger
Apache Ranger
 
OrientDB
OrientDBOrientDB
OrientDB
 
Prometheus
PrometheusPrometheus
Prometheus
 
Apache Tephra
Apache TephraApache Tephra
Apache Tephra
 
Apache Kudu
Apache KuduApache Kudu
Apache Kudu
 
Apache Bahir
Apache BahirApache Bahir
Apache Bahir
 
Apache Arrow
Apache ArrowApache Arrow
Apache Arrow
 
JanusGraph DB
JanusGraph DBJanusGraph DB
JanusGraph DB
 
Apache Ignite
Apache IgniteApache Ignite
Apache Ignite
 
Apache Samza
Apache SamzaApache Samza
Apache Samza
 
Apache Flink
Apache FlinkApache Flink
Apache Flink
 
Apache Edgent
Apache EdgentApache Edgent
Apache Edgent
 
Apache CouchDB
Apache CouchDBApache CouchDB
Apache CouchDB
 
An introduction to Apache Mesos
An introduction to Apache MesosAn introduction to Apache Mesos
An introduction to Apache Mesos
 
An introduction to Pentaho
An introduction to PentahoAn introduction to Pentaho
An introduction to Pentaho
 
An introduction to Apache Thrift
An introduction to Apache ThriftAn introduction to Apache Thrift
An introduction to Apache Thrift
 
An introduction to Apache Cassandra
An introduction to Apache CassandraAn introduction to Apache Cassandra
An introduction to Apache Cassandra
 
An example Hadoop Install
An example Hadoop InstallAn example Hadoop Install
An example Hadoop Install
 
An Introduction to Apache Hadoop Yarn
An Introduction to Apache Hadoop YarnAn Introduction to Apache Hadoop Yarn
An Introduction to Apache Hadoop Yarn
 

Recently uploaded

[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard37
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 

Recently uploaded (20)

[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 

An Introduction to Apache HBase

  • 1. Apache Hadoop HBase ● What is it ? ● Why use it ? ● Architecture ● Storage ● Related Projects
  • 2. Hbase – What is it ? ● A Hadoop Data Store ● A noSQL store for big data ● It is Open Source, written in Java ● It is a distributed database ● Automatic sharding, table data spread over cluster ● Automatic region server fail over
  • 3. Hbase – Why / When use it ? ● Data in billions of rows ● Complex data ● High volume of I/O ● High level of data nodes, 5 + ● No need for extra RDBMS functions i.e. transactions
  • 4. HBase – Architecture Where does Hbase sit in relation to Hadoop ?
  • 5. HBase – Architecture ● HBase is a data store ● Uses Hadoop for distributed storage ● Data stored across region servers ● Region server data spread across HDFS data nodes ● A write ahead log (WAL) is used to record changes
  • 6. HBase – Storage ● What is the architecture ?
  • 7. HBase – Storage ● Client makes call i.e. put ● Request RPC'ed as key value to Region server ● Key Value routed to region for row ● Data is written to WAL ● Data written to region memStore ● If region server cashes WAL can be used to recover data
  • 8. HBase – Related Projects ● Apache Flume – move large data sets to Hadoop ● Apache Sqoop – cmd line, move rdbms data to Hadoop ● Apache Hbase – Non relational database ● Apache Pig – analyse large data sets ● Apache Oozie – work flow scheduler ● Apache Mahout – machine learning and data mining ● Apache Hue – Hadoop user interface ● Apache Zoo Keeper – configuration / build
  • 9. Contact Us ● Feel free to contact us at – www.semtech-solutions.co.nz – info@semtech-solutions.co.nz ● We offer IT project consultancy ● We are happy to hear about your problems ● You can just pay for those hours that you need ● To solve your problems
  • 10. Contact Us ● Feel free to contact us at – www.semtech-solutions.co.nz – info@semtech-solutions.co.nz ● We offer IT project consultancy ● We are happy to hear about your problems ● You can just pay for those hours that you need ● To solve your problems