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Apache Cassandra

US Soft Technologies > Apache Cassandra

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large volumes of structured data across multiple commodity servers without a single point of failure. Known for its high availability, fault tolerance, and decentralized architecture, Cassandra is ideal for applications that require real-time big data processing and constant uptime. It uses a peer-to-peer model, where each node in the cluster is equal and capable of handling read/write requests. With its support for linear scalability, tunable consistency, and replication across data centers, Cassandra is widely used by organizations for use cases such as IoT, time-series data, messaging systems, and recommendation engines.

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large volumes of structured data across multiple commodity servers without a single point of failure. Known for its high availability, fault tolerance, and decentralized architecture, Cassandra is ideal for applications that require real-time big data processing and constant uptime. It uses a peer-to-peer model, where each node in the cluster is equal and capable of handling read/write requests. With its support for linear scalability, tunable consistency, and replication across data centers, Cassandra is widely used by organizations for use cases such as IoT, time-series data, messaging systems, and recommendation engines.

1. Introduction to Apache Cassandra

  • What is Cassandra?

  • History and evolution

  • Use cases and real-world applications

  • Comparison with relational databases and other NoSQL databases

2. Cassandra Architecture

  • Peer-to-peer distributed architecture

  • Gossip protocol and node communication

  • Data partitioning and distribution

  • Replication and consistency

3. Data Model and Schema Design

  • Keyspaces, tables, and columns

  • Primary keys and clustering columns

  • Partition keys and data modeling best practices

  • Denormalization and data duplication strategies

4. Cassandra Query Language (CQL)

  • Basic CQL syntax

  • Data definition language (CREATE, ALTER, DROP)

  • Data manipulation language (INSERT, UPDATE, DELETE)

  • Querying data (SELECT, filtering, ordering)

5. Replication and Consistency

  • Replication factor

  • Consistency levels (ONE, QUORUM, ALL, etc.)

  • Read and write consistency tuning

  • Hinted handoff and read repair

6. Cluster Setup and Configuration

  • Installing and configuring Cassandra

  • Setting up single-node and multi-node clusters

  • Configuration files (cassandra.yaml, cassandra-env.sh)

  • Token allocation and virtual nodes (vnodes)

7. Performance Tuning

  • Compaction and compression strategies

  • Caching (key cache, row cache)

  • Bloom filters and SSTables

  • Write path and read path optimizations

8. Monitoring and Maintenance

  • Cassandra nodetool utility

  • Metrics and logs

  • Monitoring tools (Prometheus, Grafana, DataStax OpsCenter)

  • Repair, cleanup, and anti-entropy tools

9. Backup and Recovery

  • Snapshot backups

  • Incremental backups

  • Restore and disaster recovery planning

10. Security and Access Control

  • Authentication and authorization

  • Role-based access control (RBAC)

  • SSL/TLS encryption (in-transit and at-rest)

  • Audit logging

11. Advanced Features

  • Lightweight transactions (LWT)

  • Materialized views

  • Secondary indexes

  • Time-to-live (TTL) and counters

12. Cassandra in the Cloud

  • Deploying Cassandra on AWS, Azure, GCP

  • Managed Cassandra services (e.g., Astra DB by DataStax)

  • Cassandra and Kubernetes

What is Apache Cassandra?

 

Apache Cassandra is a highly scalable, distributed NoSQL database designed for handling large volumes of data across many servers with no single point of failure. It offers high availability, fault tolerance, and fast write/read performance.

 

A keyspace is the top-level namespace in Cassandra that defines how data is replicated. It contains tables (similar to a database in RDBMS) and has settings like replication factor and strategy.

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