The big data technology landscape-V.Janaki-II-M.Sc computer Science
- 1. Name : v.janaki. Class: Ii-msc.,computer science. Batch: 2017-2019. Incharge staf: ms.m.florance dayana.
- 2. The term NOSQL was first coined by Garlo Strozzi in 1998 to name his lightweight, open-source, non relational database that did not expose the standared SQL interface. The term was reintroduced by Eric Evans in early 2009
- 3. NoSQL database are widely used in big data and other real time web applications NoSQL database is used to stock log data which can then be pulled for analysis.
- 4. Where to use NoSQL Log analysis Social networking feeds Time based data(not easily analyzed in a RDBMS)
- 5. NoSQL stands for not Only SQL These are non relational,Open source,Distributed database. The adeptness at dealing with a rich variety of data: Structured Semi structured Unstructured data.
- 6. NoSQL No joins No multi document transactions Relaxes one are more ACID Properties Non relational data storage systems
- 7. 1.NOSQL Database Are Non Relational: They do not adhere to relational data model. 2.Distributed: They are distributed meaning the data is distributed across several nodes in a cluster con stituted of low cost commodity hardware.
- 8. 3.No Support For ACID Properties(atomicity Consistency, Isolation And Durability): They do not offer support for ACID properties of transactions. 4.No Fixed Table Schema: NoSQL databases are becoming increasing popular owing to their support for flexibility to the schema.
- 9. We have already stated that NOSQL database are non relational. Classified into the following: 1. key-value or the big hash table 2. schema-less 1.key values: It maintains a big hash table of keys and values. For example : Dynamo,Redis
- 10. 2.Document: It maintains data in collections constituted of documents. For example : MongoDB Sample document in document data base { “Book Name” : ” Fundamentals Of Business Analytics” “Publisher” : ”Wiley India” “Year Of Publication” : ”2011” }
- 11. 3.Column: Each storage block has data from only one column. For example: Cassandra NoSQL Key/value or the big hash table Amazon S3(Dynaino)Scalaris. Schema less Cassandra(column- based) couchDB(document- based) Neo4j(graph-based) Hbase(column-based)
- 12. 4.Graph: They are also called network database. A graph stores data in nodes. For example: HyperGraphDB. Label:knows since 2002 Label:knows since 2002 Label:knows since 2002 Label:knows since 2002 ID:1002 Name:jon Age:32 ID:1001 Name:john Age:28 ID:1003 Name:group Age:AAA
- 13. 1.It has scale out architecture instead of the monolithic architecture of relational databases. 2.It can house large volumes of structured,semi- structured and unstructured data. 3.Dynamic schema: Nosql database allows insertion of data without a pre defined schema.
- 14. 4.Auto-sharding: It automatically spreads data across an arbitrary number of servers. The application in question is more often not even aware of the composition of the server pool 5.Replication: It offers good support for replication which in turn guarantees high availability,fault tolerance,and disaster recovery.
- 15. Thank you