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Introduction to Cassandra Data Model | Edureka Video Lecture | Cassandra: Learn and Master - Database Management
FAQs on Introduction to Cassandra Data Model - Edureka Video Lecture - Cassandra: Learn and Master - Database Management
| 1. What is the Cassandra data model? |  |
Ans. The Cassandra data model is a way of organizing and structuring data in Cassandra, a highly scalable and distributed NoSQL database. It is based on a masterless architecture and uses a ring-based distributed hash table to distribute data across multiple nodes in a cluster. The data model in Cassandra is designed to provide high availability, fault tolerance, and linear scalability.
| 2. How is data organized in the Cassandra data model? | |
Ans. In the Cassandra data model, data is organized into keyspaces, column families, and columns. A keyspace is a container for column families and represents a logical grouping of data. Within a keyspace, column families serve as tables and columns act as the individual data elements. Each column family contains multiple rows, and each row consists of a row key and one or more columns.
| 3. What is denormalization in the context of the Cassandra data model? | |
Ans. Denormalization in the Cassandra data model refers to the practice of duplicating data across multiple column families or tables to improve read performance. Unlike traditional relational databases, Cassandra does not support complex joins or relationships between tables. Therefore, denormalization is used to eliminate the need for joins and enable efficient data retrieval by storing redundant copies of related data in different column families.
| 4. How does the Cassandra data model support flexible schema design? | |
Ans. The Cassandra data model offers flexible schema design by allowing the creation of column families with varying structures within the same keyspace. This means that each row within a column family can have a different set of columns, allowing for the storage of different types of data. Additionally, Cassandra supports dynamic column addition and removal, allowing schema modifications without downtime or data migration.
| 5. How does the Cassandra data model handle data distribution and replication? | |
Ans. The Cassandra data model distributes data across multiple nodes in a cluster using a consistent hashing algorithm. Each row key is hashed to determine the node responsible for storing that data. Cassandra uses a replication strategy to ensure high availability and fault tolerance by storing multiple copies of data on different nodes. The replication factor determines the number of replicas for each piece of data, and the replication strategy determines how these replicas are distributed across the cluster.
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Nov 24, 2024 Last updated |
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