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Mongodb open source_high_performance_database

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Murat akal
Murat akal

The document introduces the open source MongoDB database and discusses its performance and scalability advantages over traditional databases. It provides an overview of 10gen, the company behind MongoDB, and how it fosters the MongoDB community. MongoDB's document-oriented data model and querying capabilities are compared to traditional relational databases. Examples are given showing how MongoDB can easily store and query medical record data. Security features and 10gen's collaboration with OSEHRA on a healthcare prototype are also mentioned.

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Open source, high performance database Presentation by: Chris Scheich Phone: 703-282-1636 Email: chris@10gen.com Website: www.10gen.com 1
Introduction to 10gen Comparison between Mumps & MongoDB MongoDB built for Electronic Records Introduction to MongoDB MongoDB Security OSEHRA / 10gen Collaboration Effort 2
10gen is the company behind MongoDB. Founded in 2007 Dwight Merriman, Eliot Horowitz Set the direction & Doubleclick, Oracle, Marklogic, HP contribute code to MongoDB $73M+ in Funding Foster community & Flybridge, Sequoia, NEA, Union Square ecosystem Worldwide Expanding Team Provide commercial services 140+ employees NY, Palo Alto, London, Dublin, Sydney Provide MongoDB management services 3
The MongoDB community and ecosystem are expanding. Community 9,000 people participated in 23 MongoDB Days in 2011 Set the direction & 42 MongoDB User Groups contribute code to Global reach with events in London, Munich, Paris, Tokyo, and Beijing MongoDB Ecosystem IaaS and PaaS partners offer Cloud hosting solutions Foster community MongoDB Database-as-a-Service offerings available & ecosystem Business Intelligence, Security, and Hadoop integration solutions offered by partners Customized hardware and storage Provide commercial services Provide MongoDB management services 4
10gen provides commercial services for MongoDB. SUBSCRIPTIONS Set the direction & developer and production support, commercial contribute code to MongoDB license and MongoDB Subscriber Edition Foster community CONSULTING & ecosystem community & Foster ecosystem expertise on a project basis TRAINING Provide for developers and administrators commercial services MediaMath is growing fast and our data volume throughput requirements are going up very quickly. MongoDB and 10gen have been extremely helpful Provide MongoDB partners for us in scaling our data infrastructure. management services Vince Li 5
#2 ON INDEEDS FASTEST GROWING JOBS JASPERSOFT BIGDATA INDEX Demand for MongoDB, the document-oriented NoSQL database, saw the biggest spike with over 200% growth in 2011. 451 GROUP GOOGLE SEARCHES MONGODB INCREASING ITS DOMINANCE 6
MUMPS MongoDB Created 1960 Created 2009 Document / Object oriented Document Oriented Database database Designed with latest NoSQL theory Predates C and has a very different Open Source Technology syntax and terminology Massive Community Difficult to hire people that know this Drives innovation technology Cost effective Expensive to maintain Hot technology, lots of buzz, attracts Time consuming to change / adapt to new sharpest and brightest minds, large user requirements base Difficult to integrate with new solutions / Easy to find resources with MongoDB skill technologies sets Build from ground up for Cloud Computing Architecture 7
Examples: HL7, EDI, MARC, MODS, DDMS Electronic records typically document oriented in nature: XML, JSON, Free text, or even binary Massive variation in used fields Sparse data problem in RBMS Constantly evolving to support all the business cases Volume and velocity often in Big Data scale 8
{"ClinicalDocument": { "recordTarget": { "patientRole": { "patient": { "name": { "given": "Henry", "family": "Levin", "suffix": "the 7th }, "birthTime": {"value": 19320924} }, "providerOrganization": {"name": "Good Health Clinic"} } }, "author": { "time": 20000407130000+0500, "assignedAuthor": { "assignedPerson": {"name": { "given": "Robert", "family": "Dolin", "prefix": "Dr. } }, "representedOrganization": { "name": "Good Health Clinic } } } } 9
MongoDB was created to make it easy to code, scale, and Agile and Scalable manage databases. 10
Scale horizontally over commodity hardware RDBMSs great so keep what works Ad hoc queries Fully featured indexes Secondary indexes What doesnt distribute well? Long running multi-row transactions Joins Both artifacts of the relational data model Do not homogenize programming interfaces Local storage first class citizen for DB storage 11
General Rich data Full featured Sophisticated Purpose model indexes query language Native language Easy to Easy mapping drivers in all Simple to setup to object Use oriented code popular languages and manage Operates at in- Dynamically Fast & memory speed Auto-sharding add / remove Scalable wherever possible built in capacity with no downtime 12
{ title: MongoDB, contributors: [ { name: Eliot Horowitz, email: eliot@10gen.com }, { name: Dwight Merriman, email: dwight@10gen.com } ], model: { relational: false, awesome: true } } 13
MySQL MongoDB START TRANSACTION; db.contacts.save( { INSERT INTO contacts VALUES userName: joeblow, (NULL, joeblow); emailAddresses: [ INSERT INTO contact_emails VALUES joe@blow.com, ( NULL, joe@blow.com, joseph@blow.com ] } ); LAST_INSERT_ID() ), ( NULL, joseph@blow.com, LAST_INSERT_ID() ); COMMIT; 14
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MongoDB does not need any pre-defined data schema Every document could have different data! {name: will, {name: brendan, eyes: blue, aliases: [el diablo]} birthplace: NY, aliases: [bill, la ciacco], {name: matt, loc: [32.7, 63.4], pizza: DiGiorno, boss: ben} height: 72, loc: [44.6, 71.3]} 16
Better data locality In-Memory Distributed Architecture Caching Replication /HA Replication /HA Relational MongoDB Horizontal Scaling We just can't get any faster than the way MongoDB handles our data. Tony Tam CTO, Wordnik 17
SSL between client and server Intra-cluster communication Authorization at the database level Read Only/Read+Write/Administrator Security Roadmap (tentative) Pluggable authentication (PAM) 2.4 Auditing 2.4 Cell level security 2.6 Common Criteria certification 18
NoSQL is popular for MongoDB makes 10gen is the development & it easy to code, company behind deployment of scale, and MongoDB data-centric operate NoSQL. applications. 19
MongoDB is open source and there is no cost to download and use it 10gen are experts in database technology OSEHRA are experts in Healthcare solutions Combine 10gen and OSEHRA expertise to build a working prototype that will directly benefit our Veterans Healthcare 20

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Mongodb open source_high_performance_database

  • 1. Open source, high performance database Presentation by: Chris Scheich Phone: 703-282-1636 Email: chris@10gen.com Website: www.10gen.com 1
  • 2. Introduction to 10gen Comparison between Mumps & MongoDB MongoDB built for Electronic Records Introduction to MongoDB MongoDB Security OSEHRA / 10gen Collaboration Effort 2
  • 3. 10gen is the company behind MongoDB. Founded in 2007 Dwight Merriman, Eliot Horowitz Set the direction & Doubleclick, Oracle, Marklogic, HP contribute code to MongoDB $73M+ in Funding Foster community & Flybridge, Sequoia, NEA, Union Square ecosystem Worldwide Expanding Team Provide commercial services 140+ employees NY, Palo Alto, London, Dublin, Sydney Provide MongoDB management services 3
  • 4. The MongoDB community and ecosystem are expanding. Community 9,000 people participated in 23 MongoDB Days in 2011 Set the direction & 42 MongoDB User Groups contribute code to Global reach with events in London, Munich, Paris, Tokyo, and Beijing MongoDB Ecosystem IaaS and PaaS partners offer Cloud hosting solutions Foster community MongoDB Database-as-a-Service offerings available & ecosystem Business Intelligence, Security, and Hadoop integration solutions offered by partners Customized hardware and storage Provide commercial services Provide MongoDB management services 4
  • 5. 10gen provides commercial services for MongoDB. SUBSCRIPTIONS Set the direction & developer and production support, commercial contribute code to MongoDB license and MongoDB Subscriber Edition Foster community CONSULTING & ecosystem community & Foster ecosystem expertise on a project basis TRAINING Provide for developers and administrators commercial services MediaMath is growing fast and our data volume throughput requirements are going up very quickly. MongoDB and 10gen have been extremely helpful Provide MongoDB partners for us in scaling our data infrastructure. management services Vince Li 5
  • 6. #2 ON INDEEDS FASTEST GROWING JOBS JASPERSOFT BIGDATA INDEX Demand for MongoDB, the document-oriented NoSQL database, saw the biggest spike with over 200% growth in 2011. 451 GROUP GOOGLE SEARCHES MONGODB INCREASING ITS DOMINANCE 6
  • 7. MUMPS MongoDB Created 1960 Created 2009 Document / Object oriented Document Oriented Database database Designed with latest NoSQL theory Predates C and has a very different Open Source Technology syntax and terminology Massive Community Difficult to hire people that know this Drives innovation technology Cost effective Expensive to maintain Hot technology, lots of buzz, attracts Time consuming to change / adapt to new sharpest and brightest minds, large user requirements base Difficult to integrate with new solutions / Easy to find resources with MongoDB skill technologies sets Build from ground up for Cloud Computing Architecture 7
  • 8. Examples: HL7, EDI, MARC, MODS, DDMS Electronic records typically document oriented in nature: XML, JSON, Free text, or even binary Massive variation in used fields Sparse data problem in RBMS Constantly evolving to support all the business cases Volume and velocity often in Big Data scale 8
  • 9. {"ClinicalDocument": { "recordTarget": { "patientRole": { "patient": { "name": { "given": "Henry", "family": "Levin", "suffix": "the 7th }, "birthTime": {"value": 19320924} }, "providerOrganization": {"name": "Good Health Clinic"} } }, "author": { "time": 20000407130000+0500, "assignedAuthor": { "assignedPerson": {"name": { "given": "Robert", "family": "Dolin", "prefix": "Dr. } }, "representedOrganization": { "name": "Good Health Clinic } } } } 9
  • 10. MongoDB was created to make it easy to code, scale, and Agile and Scalable manage databases. 10
  • 11. Scale horizontally over commodity hardware RDBMSs great so keep what works Ad hoc queries Fully featured indexes Secondary indexes What doesnt distribute well? Long running multi-row transactions Joins Both artifacts of the relational data model Do not homogenize programming interfaces Local storage first class citizen for DB storage 11
  • 12. General Rich data Full featured Sophisticated Purpose model indexes query language Native language Easy to Easy mapping drivers in all Simple to setup to object Use oriented code popular languages and manage Operates at in- Dynamically Fast & memory speed Auto-sharding add / remove Scalable wherever possible built in capacity with no downtime 12
  • 13. { title: MongoDB, contributors: [ { name: Eliot Horowitz, email: eliot@10gen.com }, { name: Dwight Merriman, email: dwight@10gen.com } ], model: { relational: false, awesome: true } } 13
  • 14. MySQL MongoDB START TRANSACTION; db.contacts.save( { INSERT INTO contacts VALUES userName: joeblow, (NULL, joeblow); emailAddresses: [ INSERT INTO contact_emails VALUES joe@blow.com, ( NULL, joe@blow.com, joseph@blow.com ] } ); LAST_INSERT_ID() ), ( NULL, joseph@blow.com, LAST_INSERT_ID() ); COMMIT; 14
  • 15. 15
  • 16. MongoDB does not need any pre-defined data schema Every document could have different data! {name: will, {name: brendan, eyes: blue, aliases: [el diablo]} birthplace: NY, aliases: [bill, la ciacco], {name: matt, loc: [32.7, 63.4], pizza: DiGiorno, boss: ben} height: 72, loc: [44.6, 71.3]} 16
  • 17. Better data locality In-Memory Distributed Architecture Caching Replication /HA Replication /HA Relational MongoDB Horizontal Scaling We just can't get any faster than the way MongoDB handles our data. Tony Tam CTO, Wordnik 17
  • 18. SSL between client and server Intra-cluster communication Authorization at the database level Read Only/Read+Write/Administrator Security Roadmap (tentative) Pluggable authentication (PAM) 2.4 Auditing 2.4 Cell level security 2.6 Common Criteria certification 18
  • 19. NoSQL is popular for MongoDB makes 10gen is the development & it easy to code, company behind deployment of scale, and MongoDB data-centric operate NoSQL. applications. 19
  • 20. MongoDB is open source and there is no cost to download and use it 10gen are experts in database technology OSEHRA are experts in Healthcare solutions Combine 10gen and OSEHRA expertise to build a working prototype that will directly benefit our Veterans Healthcare 20