The document discusses limitations of relational databases for large, unstructured data and introduces NoSQL technology as an alternative. It describes four types of NoSQL databases - key-value, column-oriented, graph and document - and how they address issues like flexibility, distribution and scaling. Examples are given showing how NoSQL databases like Cassandra can process large amounts of data much faster than MySQL. The conclusion is that NoSQL databases are better suited than relational databases for big data and dynamic applications needing fast, distributed processing of unstructured information at low cost.

1. Improvement of NoSQL Technology for Relational Databases TsendsurenMunkhdalai twitter: @tsendeemts

2. Contents Limitation of relational database NoSQL technology Types of NoSQL database Conclusion

3. Nowadays, statement of data Large data Some data generators Facebook photos +25TB/week Twitter +7TB/day Flickr +21GB/hour Data size is repeatedly increased every year Not structured data New kinds of applications are growing up Such as Web 2.0, Enterprise applications and Cloud computing They needed not structured data There are many no structured data generators

4. Limitation of relational database Static, normalized data schema Have to store structured data There is complex join operation Not flexible datastore Data is centralized in one place Not distributed Data overflowing Nothing

5. NoSQL technology NoSQL: Not Only SQL Handle huge amount of data at full speed Distributed Natively support clustering Have Map/Reduce mechanism Support replication and sharding Schema free More flexible Have hashing and B-tree indexing There are four types of NoSQL databases

6. Distributed: NoSQL database Support replication and sharding Map/Reduce mechanism Similarity, parallel processing Sharding/Partitioned res res Big Result res job Big Job Data 1 2 3 4 5 6 job job replication 3 4 5 6 1 2

7. Types of NoSQL database 1/4 Key-Value database Stores value based on its key Designed to handle massive load Data model: Collection of Key-Value pairs Given key, get value Data hashing indexed Some systems do that automatically Good for Cashe aside Simple, id based interactions

8. Types of NoSQL database 2/4 Column oriented database Column oriented Relational database Tables similarly to RDBMS, but handles semi-structured Each row can have a different number of columns Table is sparse Columns are dynamic

9. Types of NoSQL database 3/4 Graph database These store data structure as graph Focus on modeling the structure of data Represent complex relation between objects as graph Data model: Nodes, relationships between theirs Each node can have key/value properties C P A

10. Types of NoSQL database 4/4 Document database Stores data as document More complex Key-Value database Data model: Collection of Key-Value, collections as JSON or XML types document { “name” : “Lady Gaga”, “ssn” : “213445”, “hobbies” : [“Dressing up”, “Singing”], “albums” : [{“name” : “The fame” “release_year” : “2008”}, {“name” : “Born this away” “release_year” : “2011”}] } { {….} } { {….} }

11. Some statistic Facebook search MySQL > 50 GB Data Writes Average : ~300 ms Reads Average : ~350 ms Rewritten with Cassandra (NoSQL) > 50 GB Data Writes Average : 0.12 ms Reads Average : 15 ms

12. Who uses NoSQL ? Big Data Big data Analysis

13. Conclusion NoSQL databases Data process quite faster than relational database Distributed Dynamically determine new attributes Cheap Mostly, open source Have natively clustering, don’t need supercomputer (Expensive) Map/Reduce mechanism is provided Have B-tree and hashing indexing

14. Thank You