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Presentation On NoSQL Databases
- 1. A Presentation On “NoSQL Database” Presented By : Abiral Gautam BoCE 3rd Semester , SOE , PU
- 2. Table of Contents ● Early Database Systems ● The Rise Of NoSQL Database ● What is NoSQL Database ? ● Characteristics of NoSQL Database ● Categories of NoSQL Database ● Advantages of NoSQL Database ● Challenges and Considerations ● Conclusion
- 3. Early Database Systems Database Advantages Limitation Flat File System Simplest form of database,storing data in plain text files Limited in handling complex relationships between data Hierarchical Database System Organized data in a tree-like structure with parent-child relationship Changes in the structure were challenging to implement Network Database System Modeled data using a graph structure, allowing many to many relationship Complexity in designing and maintaining the database schema Relational Database System Organized data into tables with rows and columns Faces scalability challenges in big data with high traffic app.
- 4. The Rise Of NoSQL Database ● NoSQL databases have emerged as a crucial component in the realm of modern data management. ● In today's world, characterized by massive data volumes and the demand for real-time applications, traditional relational databases face limitations in terms of scalability and flexibility. ● NoSQL databases address these challenges by providing a dynamic and scalable solution.
- 5. What is NoSQL Database ? ● A NoSQL database (Not Only SQL) is a type of database management system that provides a mechanism for storing, retrieving, and managing data that does not follow the traditional relational database model. ● Unlike relational databases, NoSQL databases are designed to handle unstructured, semi-structured, or structured data, providing greater flexibility and scalability for certain types of applications.
- 6. Characteristics of NoSQL Database 1) Schema-less Design NoSQL databases typically do not enforce a fixed schema. This allows developers to insert data without first defining its structure, making them more adaptable to evolving data models. 2) Variety of Data Models NoSQL databases support various data models, including document-oriented, key-value pairs, wide-column stores, and graph databases. This versatility allows developers to choose the best-fit data model for their specific application needs.
- 7. Characteristics of NoSQL Database 3) Horizontal Scalability NoSQL databases are designed to scale horizontally, meaning they can handle increased data volumes and traffic by adding more servers or nodes to the database system. This is in contrast to the vertical scaling often associated with traditional relational databases.
- 8. Characteristics of NoSQL Database 4) Distributed Architecture Many NoSQL databases are built to operate in distributed environments, allowing them to distribute data across multiple nodes or servers. This design enhances fault tolerance and ensures data availability.
- 9. Characteristics of NoSQL Database 5) Dynamic and Unstructured Data NoSQL databases are well-suited for managing unstructured or semi-structured data, such as JSON or XML documents. This makes them versatile in handling diverse data formats.
- 10. Categories of NoSQL Database NoSQL databases can be broadly categorized into four main types, each with its own unique data model and characteristics. These categories are based on the way data is organized and stored within the database. The four main categories of NoSQL databases are: 1) Document-oriented database 2) Key-Value stores 3) Column-oriented database 4) Graph-based database
- 11. Document-oriented Database ● Data is stored as documents, typically in JSON or BSON format. ● Each document is a self-contained unit that may contain nested structures. ● Documents are often organized in collections. ● Examples : MongoDB, CouchDB, Elasticsearch
- 12. Key-value Stores ● Basic data model with a collection of key-value pairs. ● Data is stored as unstructured values or blobs associated with a unique key. ● Simple and fast retrieval of values based on keys. ● Examples: Redis, Amazon DynamoDB, Riak
- 13. Column-oriented Database ● Data is organized into columns instead of rows. ● Columns are grouped into column families, and each column family can have a different set of columns. ● Well-suited for read and write intensive workloads. ● Example: Apache Cassandra, HBase , Amazon SimpleDB
- 14. Graph-based database ● Designed for handling relationships between data points. ● Data is represented as nodes, edges, and properties. ● Efficient for traversing and querying complex networks or graphs. ● Examples: Neo4j, ArangoDB, Amazon Neptune
- 15. Advantages of NoSQL Database 1) Schema Flexibility NoSQL databases allow for a flexible and dynamic schema, accommodating changes to the data model without requiring predefined structures. This flexibility is beneficial in scenarios with evolving or dynamic data requirements. 2) Scalability NoSQL databases are designed for horizontal scalability, making it easier to handle large volumes of data and increased traffic by adding more nodes. Traditional SQL databases may face challenges in scaling horizontally.
- 16. Advantages of NoSQL Database 3) Optimized for Big Data NoSQL databases are often designed to handle large volumes of data efficiently, making them suitable for big data scenarios and real-time analytics. 4) Developer Friendly NoSQL databases often provide a more developer-friendly environment, allowing for quicker development cycles. They may have less rigid data requirements, making it easier to adapt to changing application needs.
- 17. Advantages of NoSQL Database 5) Cloud Computing NoSQL databases are often well-suited for cloud environments, aligning with distributed and scalable architectures commonly used in cloud computing.
- 18. Challenges and Considerations 1) Consistency and ACID Compliance Trade-offs NoSQL databases may sacrifice strict consistency for better scalability.Developers need to consider the trade-offs in terms of data consistency and ACID compliance. 2) Learning Curve Developers accustomed to RDBMS may face a learning curve when transitioning to NoSQL databases.Training and resources may be required for a smooth transition.
- 19. Challenges and Considerations 3) Data Migration Challenges Migrating from traditional databases to NoSQL can pose challenges.Planning and executing data migration strategies are crucial for a successful transition.
- 20. Conclusion ● NoSQL databases offer unparalleled advantages in terms of scalability, flexibility, and performance. ● Ideal for modern applications with dynamic data requirements and high scalability needs. ● NoSQL databases represent a paradigm shift in the way we approach and manage data.
- 21. Thank You