Exploring NoSQL Databases: Architectures and Applications

Desklib provides solved assignments and past papers on NoSQL database systems.

NoSQL Database Systems
• Traditional DBMS systems consists of different tools which are
efficiently able to store the data of different users.
• NoSQL database systems stores documents of the users with a lot of
safety.
• It consists of the different models for decision making.
• It stores the key values of the data.
• It consists of the structured values.

NoSQL Types
• Document Database
• Key value stores
• Wide column stores
• Graph based

Document Database
• It stores the structured value which is easily understandable by the
database.
• The database queries are possible using the different database
systems.
• Its examples are Amazon, simple DB, CouchDB and Mongo DB.

Key Value Stores:
• It works on One key one value principle.
• It consists of the hash function.
• Its object values are binary in nature which is not understandable by
the database.
• Its examples are Amazon, MemcacheDB.

Wide column Stores:
• It consists of the data in the form of rows and columns in which each
row is having the different columns.
• The column families are groups of the related data which can be
together accessed.
• It is used for content management systems, blogging platforms etc.
• Its examples are Hbase, Hypertable and amazon DyanamoDB.

Graph Based
• It is used to store the different entities and relationships between
them in the form of nodes and edges.
• It can be used to traverse the relationships for faster identification of
the relationships between the nodes.
• It is well suited for connected data such as social networks and spatial
data.
• Its examples are Neo 4J, infinite graph, orient DB etc.

Advantages of NoSQL
• It can create the replica of the data into multiple nodes.
• It is very cheap process and is very easy to implement.
• It doesn’t need any structure.
• It is easy to distribute.

NoSQL Uses:
• The NoSQL storage systems consists of the applications that process
very large quantity of the data.
• It is able to improve the programmer’s productivity by using the
database which match the need of an application.
• To improve the data performance of data the NoSQL database is used
in the case of larger data.

Conclusion
• NoSQL is used because it is schema free and can store the massive
amount of data.
• It is more scalable and is more simpler to implement either than using
the RDBMS.
• It is the latest technique and is more powerful than RDBMS.

References
• Slideshare.net. (2019). NoSQL databases. [online] Available at:
https://www.slideshare.net/meshalalbeedhani/nosql-databases-31867328 [Accessed 21 May 2019].
• myNoSQL. (2009). SQL or NoSQL? The Conclusion is …. [online] Available at:
https://nosql.mypopescu.com/post/276028472/sql-or-nosql-the-conclusion-is [Accessed 21 May 2019].
• UKEssays.com. (2019). NoSQL Databases | Research Paper. [online] Available at:
https://www.ukessays.com/essays/computer-science/nosql-databases-research-paper-computer-science-
essay.php [Accessed 21 May 2019].
• BMC Blogs. (2019). NoSQL vs SQL: Examining The Differences and Deciding Which To Choose. [online]
Available at: https://www.bmc.com/blogs/sql-vs-nosql/ [Accessed 21 May 2019].
• TechRepublic. (2019). News, Tips, and Advice for Technology Professionals - TechRepublic. [online]
Available at: https://www.techrepublic.com/blog/10-things/10-things-you-should-know-about-nosql-
databases/ [Accessed 21 May 2019].
• ReadWrite. (2013). When NoSQL Databases Are — Yes — Good For You And Your Company - ReadWrite.
[online] Available at: https://readwrite.com/2013/03/25/when-nosql-databases-are-good-for-you/ [Accessed
21 May 2019].