Cassandra Course Online

SKU: 1142
10 Lesson
|
25 Hours
This Apache Cassandra Certification Training builds real cluster skills, not just slide knowledge. You'll design query-driven data models, write production-grade CQL, and administer multi-node clusters, then work through Cassandra 5.0 features like vector search and Storage-Attached Indexing. The course closes with DataStax-aligned mock exams so certification day holds no surprises.

Cassandra Training Overview

The training moves from Cassandra's distributed architecture - rings, replication, gossip, and tunable consistency - into advanced data modeling with Chebotko diagrams, partition-key design, and anti-pattern avoidance. You'll stand up multi-node clusters, run performance tuning exercises, and practice with DSBulk, nodetool, and OpsCenter. Every module includes hands-on labs, and the final weeks focus on certification readiness for the DataStax Cassandra Developer and Administrator Associate exams, whichever track matches your role.

Prerequisites

  • Basic familiarity with databases and SQL concepts is helpful but not mandatory
  • Comfort working in a Linux command-line environment
  • Working knowledge of Java or Python is useful for the developer track, though not required for administrators
  • No prior NoSQL or distributed-systems experience is needed - the course starts from fundamentals

Course Objectives

  • Understand Cassandra's distributed architecture, including rings, nodes, gossip protocol, replication, and partitioning
  • Build efficient, query-driven data models using Chebotko diagrams and partition/clustering key design
  • Write and optimize CQL for real access patterns, including lightweight transactions, batches, and TTL-based expiry
  • Install, configure, and administer multi-node Cassandra clusters across data centers and cloud regions
  • Apply Cassandra 5.0 capabilities such as vector search, Storage-Attached Indexing, and dynamic data masking
  • Monitor, troubleshoot, and tune cluster performance using nodetool, JMX metrics, and compaction strategies
  • Prepare thoroughly for the DataStax Cassandra Developer Associate and Administrator Associate certification exams

What You Will Learn

  • Cassandra architecture: ring topology, virtual nodes, snitches, gossip, and hinted handoff
  • Replication strategies and tunable consistency levels across single and multi-data-center deployments
  • Data modeling for Cassandra: partition keys, clustering columns, secondary indexes, and materialized views
  • CQL fundamentals and advanced querying, including batches, lightweight transactions, and result paging
  • Storage-Attached Indexing (SAI) and Cassandra 5.0 vector search for AI- and ML-ready applications
  • Trie-based memtables, BTI SSTable formats, and unified compaction for performance and storage efficiency
  • Cluster administration: installation, scaling, backup, repair, and disaster recovery
  • Security practices including authentication, role-based access control, encryption, and dynamic data masking
  • Data migration and bulk loading with DSBulk and COPY, plus integration patterns with Spark and Kafka
  • Monitoring and troubleshooting using nodetool, JMX metrics, and cluster health dashboards

Who Should Take This Course?

This program is built for professionals who work with large-scale, high-availability data systems and want a structured, certification-focused path into Cassandra.

  • Backend and database developers building applications on distributed NoSQL systems
  • Database administrators managing large-scale or multi-data-center deployments
  • Data engineers working with high-volume, high-velocity data pipelines
  • Solutions architects designing scalable, fault-tolerant data infrastructure
  • DevOps and site reliability engineers responsible for cluster uptime and performance
  • IT professionals preparing specifically for DataStax Cassandra certification exams
  • Computer science graduates aiming to specialize in distributed databases and Big Data roles

Skills You Will Gain

  • Distributed database architecture and CAP-theorem trade-offs
  • Query-driven data modeling and CQL scripting
  • Indexing strategies, including secondary indexes and SAI
  • Cluster installation, scaling, and multi-data-center configuration
  • Backup, repair, and disaster-recovery planning
  • Performance tuning and compaction strategy selection
  • Vector search and semantic similarity queries
  • SAI-based indexing for machine learning workloads
  • Dynamic data masking for sensitive data columns

Career-Ready Skills

  • Certification exam readiness for DataStax Developer and Administrator tracks
  • Real-world troubleshooting on production-style clusters
  • Hands-on lab and capstone project experience

Tools Covered

  • Apache Cassandra 5.0 (CQL shell and multi-node clusters)
  • DataStax DevCenter and DataStax Astra DB
  • nodetool and OpsCenter for cluster monitoring
  • DSBulk for high-speed data loading and unloading
  • Apache Spark and Kafka for data integration
  • Linux command-line environment
  • Git for version control of scripts and configurations

Career Outcomes

Certified Cassandra professionals are sought after by organizations that run high-availability, high-volume data platforms across banking, e-commerce, telecom, and streaming media.

  • Cassandra Database Administrator
  • Big Data Engineer
  • NoSQL Developer
  • Backend Developer (Distributed Systems)
  • Data Architect
  • Cloud Data Engineer
  • DevOps Engineer (Data Infrastructure)

Why Choose igmGuru?

igmGuru brings certification-focused Cassandra training built around real clusters, not slides.

  • Live instructor-led online sessions
  • Hands-on labs on real multi-node clusters
  • Certification-aligned curriculum and mock exams
  • Real-world projects and case studies
  • Flexible batch timings, including weekend batches
  • Lifetime access to recorded sessions and materials
  • 24/7 learner support
  • Resume building and interview preparation assistance
  • Course completion certificate from igmGuru

Key Features

Cassandra Course Modules

1. Overview of NoSQL Databases
2. Types of NoSQL Databases (Key-Value, Columnar, Document, Graph)
3. Apache Cassandra Introduction
4. Use Cases and Real-world Applications
5. Cassandra vs. RDBMS
1. Peer-to-Peer Architecture
2. Gossip Protocol
3. Partitioners and Token Ring
4. Replication & Consistency
5. Read and Write Path (Hinted Handoff, Read Repair, etc.)
6. Tunable Consistency Levels
1. System Requirements
2. Installing Cassandra (Linux, Windows, Docker)
3. Configuration Files Overview (cassandra.yaml, etc.)
4. Starting and Stopping Cassandra Services
5. Cluster Setup (Single Node and Multi-node)
1. Key Concepts: Tables, Rows, Partitions
2. Primary Keys, Partition Keys, and Clustering Columns
3. Denormalization and Duplication
4. Data Modeling Best Practices
5. Using cqlsh for Schema Design
1. Introduction to CQL
2. Creating Keyspaces and Tables
3. Insert, Update, Delete, and Select Operations
4. Using TTL, Batching, and Collections (List, Set, Map)
5. Filtering and Indexing
1. Secondary Indexes
2. Materialized Views
3. User-Defined Types (UDTs)
4. Lightweight Transactions (LWT)
5. Counter Columns and Time Series Data
1. SSTables, Memtables, and Commit Logs
2. Compaction and Bloom Filters
3. Hinted Handoff, Tombstones
4. Anti-Entropy and Repair
1. JVM and Heap Tuning
2. Caching (Key/Row Cache)
3. Tools: nodetool, JMX, Prometheus + Grafana
4. Diagnosing Latency and Hot Partitions
5. Write/Read Optimization Tips
1. Backup and Restore
2. Node Recovery and Rebalancing
3. Cluster Expansion
4. Rolling Restarts and Upgrades
5. Security (Authentication, Authorization, Encryption)
1. Integrating Cassandra with: Apache Spark, Kafka, Python (via cassandra-driver), Java (via DataStax Java Driver)
2. Using Cassandra with REST APIs
3. GUI Tools (e.g., DataStax Studio, Cassandra Workbench)
Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)
Drop Us a Query
Fields marked * are mandatory

Request For Live Demo Class

Cassandra Certification Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 25 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 22 Aug 2026
  • Weekday Batch 24 Aug 2026
  • Weekend Batch 22 Aug 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
BECHTEL
Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

Want to know Today's Offer

X

Cassandra Certification

Apache Cassandra currently has one industry-recognized certification path, offered by DataStax: the Cassandra Developer Associate and Cassandra Administrator Associate credentials. This training maps directly to both syllabi - data modeling and CQL for developers, cluster operations and tuning for administrators - so you can pursue whichever track fits your role. Along the way, igmGuru issues a course completion certificate, and the mock exams are structured to mirror the real DataStax exam format so you know where you stand before you book it.

Cassandra Certification

FAQ's

Yes. Cassandra remains a top choice for high-availability, write-heavy workloads, and the 5.0 release's vector search and AI-ready indexing have expanded its use in recommendation engines, fraud detection, and other ML-driven applications.

Basic familiarity with SQL and Linux commands helps, but it isn't mandatory. Developer-track learners benefit from some Java or Python exposure, while the administrator track focuses more on operations than coding.

Choose Developer Associate if your work centers on data modeling and application queries. Choose Administrator Associate if you're responsible for cluster setup, scaling, and day-to-day operations. This course prepares you for either.

The curriculum is mapped to both DataStax exam objectives and includes full-length mock exams, but consistent practice with CQL and cluster operations after each module makes the biggest difference on exam day.

Cassandra is a wide-column store optimized for write-heavy, always-available workloads across multiple data centers, while MongoDB is a document database better suited to flexible, nested JSON-style data. Your access patterns should decide which one fits.

Yes. Every module includes labs on real multi-node clusters, and the course closes with a capstone project covering design, security, and performance tuning end to end.

Yes. The training includes a dedicated module on Cassandra 5.0 features such as Storage-Attached Indexing, the vector data type, vector search, and dynamic data masking.

Common roles include Cassandra Database Administrator, Big Data Engineer, NoSQL Developer, Data Architect, and Cloud Data Engineer, particularly at companies running large-scale distributed data platforms.

Yes. igmGuru issues a course completion certificate, and the training separately prepares you to sit for the official DataStax certification exam of your choice.

Yes. Batches run on weekday evenings and weekends, sessions are recorded for lifetime access, and the flexible schedule is designed for working professionals.

Contact Us
Contact Us Worldwide
1-800-7430-173
(US Toll Free)


WhatsApp
+91-7240-740-740
(WhatsApp)

Reviews


Login
Don't have an account?
Sign Up

Our Alumni works at

HCL
FAI
YOKAGAWA
Tech Mahindra
SOCIETE GENERALE
SAMSUNG
EMIDS
DHL
FedEx
PayPal
BOSCH
asian paints
MICRO FOCUS
hgs
eClerx
Nasdaq
Persistent
CSS CORP
×

Your Shopping Cart


Your shopping cart is empty.