Course Overview
About Course
Apache Cassandra is an open-source, distributed NoSQL database designed for high availability, fault tolerance, and horizontal scalability. Its peer-to-peer architecture—leveraging gossip protocol and tunable consistency—ensures no single point of failure and resilience across data centers
This comprehensive 40-hour training equips database architects, developers, and operators with practical skills to deploy and manage Cassandra clusters. Participants start with NoSQL fundamentals and Cassandra architecture, progressing to installation, cluster configuration, and hands‑on keyspace setup. You’ll master Cassandra Query Language (CQL), core CRUD operations, and schema design techniques—especially denormalization and access-pattern driven modeling to avoid common pitfalls
The course delves into internals: memtables, SSTables, compaction strategies, and the read/write path. You’ll learn replication and consistency nuances, including read/write levels, replication factors, and failure handling . With nodetool and stress utilities, participants deploy monitoring dashboards using Prometheus and Grafana. Labs include performance tuning, managing compaction and repairs, and simulating failovers for robust HA strategies.
Advanced modules cover integrating Cassandra with Java drivers and Spark analytics, exploring DataStax Enterprise features, and implementing security best practices including encryption and backup/restore processes.
The training culminates in a capstone: designing, deploying, monitoring, and recovering a production-grade Cassandra cluster. Attendees emerge capable of building resilient, scalable, and efficient distributed data systems ready for real-world applications.
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Course Syllabus
- Introduction to NoSQL & Cassandra (4 h)
- Overview of NoSQL vs RDBMS, Cassandra’s history and appeal.
- Core architecture: peer-to-peer ring, decentralized design, gossip, partition tolerance .
- Installation & Cluster Setup (4 h)
- Installing Cassandra across platforms.
- Init cluster, node configuration, keyspaces, replication strategies
- Cassandra Data Modeling (6 h)
- Understanding primary keys: partition and clustering keys.
- Schema design: denormalization, access patterns, anti-patterns
- CQL & CRUD Operations (6 h)
- Cassandra Query Language fundamentals.
- CRUD operations, data types, TTL, batching
- Read/Write Internals & Compaction (4 h)
- Write path, memtables, SSTables; read flow; compaction strategies and deletion handling
- Replication & Consistency (4 h)
- Configuring replication factors, consistency levels, fault tolerance mechanisms
- Cluster Management & Monitoring (4 h)
- Tools: nodetool, stress, metrics; monitoring with Prometheus/Grafana; maintenance routines
- Performance Tuning & Best Practices (4 h)
- Throughput vs latency optimization, schema tuning, compaction and repair best practices.
- Integration & Application Development (4 h)
- Java driver interaction, Spark integration for analytics
- Security, Backup & Recovery (4 h)
- Authentication, authorization, encryption, backup/restore, disaster recovery strategies.
- Advanced Topics: DSE & Analytics (2 h)
- Overview of DataStax Enterprise, search, graph, Spark, and production-grade setups.
- Capstone Project & Review (2 h)
- End-to-end deployment: model design, cluster setup, replication config, monitoring and recovery.
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Key Features
Hands-on cluster labs: install, configure, scale, and manage multi-node clusters.
Schema design workshops: practice query-driven modeling and avoid anti-patterns.
Deep-dive into internals: explore memtables, SSTables, compactions, nodetool insights.
Monitoring dashboards: set up metrics using Prometheus/Grafana.
Performance tuning labs: tune compaction, repair, queries.
Integration demos: use Java drivers and Spark for real-world apps.
High availability drills: simulate failures, repair, and recovery.
Capstone project: build a mock production-grade data stack.
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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