What will you learn in Introduction to Apache Cassandra Course
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Grasp Apache Cassandra’s distributed architecture, data modeling concepts, and use cases
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Write and execute CQL for DDL and DML operations directly in your browser without setup
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Design efficient tables using primary keys, clustering columns, and secondary indexes
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Configure tunable consistency levels and understand their impact on availability and performance
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Navigate Cassandra’s read/write paths and apply best practices for high-throughput data management
Program Overview
Module 1: Getting Started
10 minutes
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Topics: Course orientation; Cassandra overview, history, and use cases
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Hands-on: Execute your first CQL query in the embedded browser editor
Module 2: Apache Cassandra Overview
30 minutes
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Topics: Key features, ideal workloads, and data modeling fundamentals
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Hands-on: Complete the “Apache Cassandra Overview” quiz to test your understanding
Module 3: Apache Cassandra Architecture
2 hours
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Topics: Cluster topology, nodetool utility, shell commands, partitioning, replication, and system schema
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Hands-on: Explore cluster topology and run CREATE/ALTER KEYSPACE statements in-browser
Module 4: Apache Cassandra Data Modeling
45 minutes
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Topics: Storage structure, the data modeling process, native data types, and design patterns
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Hands-on: Model and quiz on native data types and storage strategies
Module 5: Apache Cassandra Table
2.5 hours
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Topics: CREATE/DESCRIBE/ALTER/DROP TABLE, DML (SELECT/INSERT/UPDATE/DELETE), partition keys, clustering order, static columns, and filtering solutions
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Hands-on: Build and query tables using composite keys and clustering options
Module 6: Apache Cassandra Data Types
1 hour
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Topics: Counters, collections (SET, LIST, MAP), user-defined types, and tuples
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Hands-on: Define and quiz on advanced data types and UDTs
Module 7: Tunable Consistency
40 minutes
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Topics: Consistency levels (ALL, QUORUM, LOCAL_QUORUM, ONE, ANY), trade-offs, and best practices
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Hands-on: Configure and evaluate different consistency levels in sample queries
Module 8: Apache Cassandra Read & Write Path
30 minutes
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Topics: Internals of the write path, memtable flush, SSTables, commit log, and efficient read algorithms
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Hands-on: Trace and quiz on the read/write execution path
Module 9: Wrap Up
15 minutes
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Topics: Course summary, performance tuning guidelines, and additional resources
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Hands-on: Final quiz and review best practices for production deployments
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Job Outlook
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Cassandra developers command an average U.S. salary of $131,000 per year
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In India, Cassandra professionals earn between ₹413,000 and ₹1,500,000 annually, averaging ₹820,000
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High demand in industries such as finance, e-commerce, and IoT for scalable, fault-tolerant data stores
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Roles include Cassandra Engineer, NoSQL Architect, and Big Data Consultant with strong freelance opportunities
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