Apache Cassandra Administration
Introduction to Apache Cassandra
Apache Cassandra is a distributed NoSQL database designed for handling large amounts of data across many commodity servers. This module introduces Apache Cassandra, covering its architecture, core features, and use cases.
Setting Up Apache Cassandra
Learn how to install and configure Apache Cassandra. This section covers system requirements, installation procedures, and initial setup. Explore configuration files, tuning parameters, and best practices for deploying Cassandra.
Data Modeling and Schema Design
Discover how to design data models and schemas in Apache Cassandra. Learn about data modeling principles, designing tables and column families, and handling data distribution. Explore how to optimize schema design for performance and scalability.
Managing Cassandra Clusters
Gain insights into managing Cassandra clusters. Learn about cluster setup, node management, and maintaining cluster health. Explore how to handle node additions, removals, and repairs, and how to monitor cluster performance.
Backup and Recovery
Understand how to perform backup and recovery operations in Apache Cassandra. Learn about snapshot creation, backup strategies, and restoring data. Explore techniques for ensuring data integrity and minimizing downtime.
Troubleshooting and Performance Tuning
Learn how to troubleshoot and optimize Apache Cassandra. Explore common issues, performance bottlenecks, and diagnostic tools. Understand how to tune configuration parameters and optimize query performance.
Security and Access Control
Discover how to secure Apache Cassandra and manage access control. Learn about authentication, authorization, and encryption. Explore how to configure security settings and ensure compliance with security policies.
Integrations and Advanced Features
Explore advanced features and integrations with Apache Cassandra. Learn about integrating Cassandra with other systems, using advanced query features, and extending Cassandra’s capabilities with custom plugins and tools.
Best Practices and Maintenance
Learn best practices for administering Apache Cassandra and performing regular maintenance. Explore strategies for maintaining cluster health, performing routine tasks, and ensuring the long-term stability and performance of your Cassandra environment.
Apache Cassandra Administration Syllabus
1. Introduction to Apache Cassandra
- Overview of Apache Cassandra
- Understanding Cassandra's architecture and design principles
- Comparing Cassandra with traditional RDBMS
2. Installation and Configuration
- Pre-requisites and system requirements
- Installation methods
- Package installation
- Tarball installation
- Configuration options and best practices
- Cluster setup and initial configuration
3. Cassandra Data Model
- Understanding Cassandra data model
- Keyspaces
- Tables
- Rows
- Columns
- Data distribution and replication strategies
- Designing tables for optimal performance
4. Cassandra Query Language (CQL)
- Introduction to CQL syntax and commands
- CRUD operations
- Create
- Read
- Update
- Delete
- Batch operations and atomicity
5. Data Consistency and Replication
- Consistency levels in Cassandra
- Understanding replication strategies
- SimpleStrategy
- NetworkTopologyStrategy
- Configuring replication factors
- Handling consistency and availability trade-offs
6. Cassandra Architecture Internals
- Understanding Cassandra's distributed architecture
- Gossip protocol and node discovery
- Read and write paths in Cassandra
- Compaction and storage engine internals
7. Monitoring and Performance Tuning
- Monitoring Cassandra clusters
- nodetool
- JMX
- Metrics and monitoring tools
- DataStax OpsCenter
- Prometheus
- Identifying and troubleshooting performance bottlenecks
- Tuning JVM settings for Cassandra
8. Backup and Restore Strategies
- Backup methods
- nodetool snapshot
- Incremental backups
- Setting up and configuring backups
- Restore procedures and disaster recovery
9. Security in Apache Cassandra
- Authentication and authorization mechanisms
- Configuring SSL for encryption
- Hardening Cassandra clusters
- Best practices for securing data
10. Advanced Topics
- Understanding multi-datacenter setups
- Working with Cassandra drivers
- Java
- Python
- Others
- Using Cassandra with Apache Spark for analytics
- Upgrading Cassandra clusters
Training
Basic Level Training
Duration : 1 Month
Advance Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details