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NoSQL kategoriat

Hajautettavien tietokantojen neljä
           kategoriaa
Miksi useita ”kategorioita”
• Lista alkaa yksinkertaisimmasta rakenteesta ja
  etenee monimutkaisimpaan.
• Mitä yksinkertaisempi sitä vähemmän
  riippuvainen data on toisista dataentryistä.
• Ja mitä yksinkertaisempi stiä helpommin ja
  nopeammin hajautettavissa klusteriin.
• Yksinkertaisin malli ei aina kuitenkaan sovellu,
  siksi on kehitetty useita eri ratkaisuja jotka on
  jaettu neljään kategoriaan
NoSQL kategoriat
•   1. Key Value stores
•   2. Column family (Googlen BigTable kloonit)
•   3. Document tietokannat
•   4. Graph tietokannat
1. Key Value stores
• Saanut alkunsa Amazonin "Dynamo Paperista”
• Datamalli: globaali collection of K, V parit (eli
  Dictionary)
• Esimerkkejä: Viak, Voldemort, Tokyo*
2. Column family
•   perustuu Googlen BigTable dokumentaatioon
•   Datamalli: big table, column families (tarkoittaa sitä, että jokaisella rivillä voi olla eri
    rakenne)
•   Esimerkkejä: HBase, Hypertable, Cassandra (integroitavissa Hadoopiin, samoihin
    klustereihin sekä myös erikseen)
•   Cassandraa käyttää: Twitter, Facebook, Digg, Reddit, Rackspace, Cisco...
•   Cassandra 4 noden klusterin asennus alle 2 minuutissa: http://www.screenr.com/5G6
•   Cassandran tietokannan suunnittelusta esimerkki:
•   http://www.juhonkoti.net/2010/09/25/example-how-to-model-your-data-into-nosql-
    with-cassandra
•   Miksi Twitter valitsi Cassandran:
•   http://nosql.mypopescu.com/post/407159447/cassandra-twitter-an-interview-with-
    ryan-king
•   Miksi Facebook loi Cassandran:
    http://www.facebook.com/note.php?note_id=24413138919
•   HBase käytössä: Yahoo, Twitter, Facebook, StumpleUpon, TrendMicro, Meetup, Adobe
3. Dokumenttitietokannat
• saanut innostuksen Lotus Notesista
• Datamalli: collection of K,V collections
• Esimerkkejä: CouchDB, MongoDB
• CouchDB talletetaan yleensä suoraan JSON/BSON
  muotoista dataa:
  http://www.youtube.com/watch?v=wv1pVpo4Bbg&fea
  ture=related
• CouchDB ja Web:
  http://www.parleys.com/#st=5&id=1867&sl=38
• CouchDB vs. RDBMS:
  http://www.parleys.com/#st=5&id=1874&sl=17
4. Graafitietokannat
• pohjana Eulerin graafiteoria
• Datamalli: nodet, relaatiot, K,V-parit molemmissa
• Esimerkkejä: AllegroGraph, Sones, Noe4
• Monimutkaisin kaikista, tulevaisuudessa
  mielenkiinto keskittyy tähän
• http://en.wikipedia.org/wiki/Graph_database
• Esimerkkisovellus graafitietokannalla:
  http://research.microsoft.com/en-
  us/projects/trinity/demo.aspx

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NoSQL Kategoriat

  • 2. Miksi useita ”kategorioita” • Lista alkaa yksinkertaisimmasta rakenteesta ja etenee monimutkaisimpaan. • Mitä yksinkertaisempi sitä vähemmän riippuvainen data on toisista dataentryistä. • Ja mitä yksinkertaisempi stiä helpommin ja nopeammin hajautettavissa klusteriin. • Yksinkertaisin malli ei aina kuitenkaan sovellu, siksi on kehitetty useita eri ratkaisuja jotka on jaettu neljään kategoriaan
  • 3. NoSQL kategoriat • 1. Key Value stores • 2. Column family (Googlen BigTable kloonit) • 3. Document tietokannat • 4. Graph tietokannat
  • 4. 1. Key Value stores • Saanut alkunsa Amazonin "Dynamo Paperista” • Datamalli: globaali collection of K, V parit (eli Dictionary) • Esimerkkejä: Viak, Voldemort, Tokyo*
  • 5. 2. Column family • perustuu Googlen BigTable dokumentaatioon • Datamalli: big table, column families (tarkoittaa sitä, että jokaisella rivillä voi olla eri rakenne) • Esimerkkejä: HBase, Hypertable, Cassandra (integroitavissa Hadoopiin, samoihin klustereihin sekä myös erikseen) • Cassandraa käyttää: Twitter, Facebook, Digg, Reddit, Rackspace, Cisco... • Cassandra 4 noden klusterin asennus alle 2 minuutissa: http://www.screenr.com/5G6 • Cassandran tietokannan suunnittelusta esimerkki: • http://www.juhonkoti.net/2010/09/25/example-how-to-model-your-data-into-nosql- with-cassandra • Miksi Twitter valitsi Cassandran: • http://nosql.mypopescu.com/post/407159447/cassandra-twitter-an-interview-with- ryan-king • Miksi Facebook loi Cassandran: http://www.facebook.com/note.php?note_id=24413138919 • HBase käytössä: Yahoo, Twitter, Facebook, StumpleUpon, TrendMicro, Meetup, Adobe
  • 6. 3. Dokumenttitietokannat • saanut innostuksen Lotus Notesista • Datamalli: collection of K,V collections • Esimerkkejä: CouchDB, MongoDB • CouchDB talletetaan yleensä suoraan JSON/BSON muotoista dataa: http://www.youtube.com/watch?v=wv1pVpo4Bbg&fea ture=related • CouchDB ja Web: http://www.parleys.com/#st=5&id=1867&sl=38 • CouchDB vs. RDBMS: http://www.parleys.com/#st=5&id=1874&sl=17
  • 7. 4. Graafitietokannat • pohjana Eulerin graafiteoria • Datamalli: nodet, relaatiot, K,V-parit molemmissa • Esimerkkejä: AllegroGraph, Sones, Noe4 • Monimutkaisin kaikista, tulevaisuudessa mielenkiinto keskittyy tähän • http://en.wikipedia.org/wiki/Graph_database • Esimerkkisovellus graafitietokannalla: http://research.microsoft.com/en- us/projects/trinity/demo.aspx