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- 1. WOLAITA SODO UNIVERSITY SHOOL OF INFORMATICS DEPARTMENT; INFORMATION TECHNOLOGY PROGRM; POST GRADUATE SESSION : REGULAR PRESENTATION TITEL:CALLABLE AND REPLICATED SHARED OBJECTS OVER NOSQL GROUP MEMBERS ID-NO 1, Abebe Tora PGR/82835/15 2, Wondimagegn desta PGR/82842/15 3, Gizework Alemayehu PGR/62915/14 Submitted to - Desta Dana (Asst. Prof. in IT) Sub. Date: - June 14/2023
- 2. Terminology • Node: Networked computer that offers some kind of service, local storage and access to a larger distributed system or file store. • Clusters: Set of nodes. • Sharding (or horizontal partitioning): Partitioning the database on the value of some field. • Replication: Portions of data are written to multiple nodes in case one of them fails (ensuring availability). • ACID: Atomicity, Consistency, Isolation, Durability. Is a set of properties of database transactions intended to guarantee validity even in the event of errors, power failures, etc. • BASE: Basically available (no 24/7 availability), soft- state (database may be inconsistent) and eventually consistent (eventually, it will be consistent).
- 3. Abstract • I n a Cloud environment, the ability to share and persist objects simplifies the design of applications. • Storing objects in a NoSQL database ensures their availability and provides scalability to applications. • When Object-NoSQL Mapping is performed at the client side, objects that are accessed by several clients are repeatedly converted between their in-memory and serialized representations.
- 4. Introduction • NoSQL databases have existed since the 1960s, but have been recently gaining traction with popular options such as MongoDB, CouchDB, …..etc • NoSQL stands for: o No Relational o No RDBMS o Not Only SQL • NoSQL is an umbrella term for all databases and data stores that don’t follow the RDBMS principles o A class of products o A collection of several (related) concepts about data storage and manipulation o Often related to large data sets
- 5. Continu.. • NoSQL databases are currently a hot topic in some parts of computing, with over a hundred. • NoSQL is also type of distributed database, which means that information is copied and stored on various servers, which can be remote or local . This ensures availability and reliability of data
- 7. NoSQL Database Types Discussing NoSQL databases is complicated because there are a variety of types: • Graph stores are used to store information about networks of data, such as social connections. Graph stores include Neo4J and triple stores like Fuseki. • Document databases pair each key with a complex data structure known as a document. • Key-value stores are the simplest NoSQL databases. Every single item in the database is stored as an attribute name (or 'key'), together with its value. Examples of key-value stores are Riak and Berkeley DB. • Wide-column stores such as Cassandra and HBase are optimized for queries over large datasets, and store columns of data together, instead of rows.
- 8. Advantage of noSQL • Elastic scalability: These databases are designed for use with low-cost commodity hardware. • Big Data Applications: Massive volumes of data are easily handled by NoSQL databases. • Auto-sharding: Relational Databases scale vertically, which means you often have a lot of databases spread across multiple servers because of the disk space they need to work.
- 9. • Replication: Most NoSQL databases also support automatic database replication to maintain availability in the event of outages or planned maintenance events. • Integrated caching: Many NoSQL technologies have excellent integrated caching capabilities, keeping frequently-used data in system memory as much as possible and removing the need for a separate caching layer.
- 10. Disadvantages of NoSQL • No standardization rules • Limited query capabilities • RDBMS databases and tools are comparatively mature • It does not offer any traditional database capabilities, like consistency when multiple transactions are performed simultaneously. • When the volume of data increases it is difficult to maintain unique values as keys become difficult • Doesn’t work as well with relational data • The learning curve is stiff for new developers • Open source options so not so popular for enterprises.