This course is ideal for:
Backend developers, data engineers, or DBAs working with high-volume applications
Professionals with knowledge of SQL or other NoSQL databases
Anyone aiming to implement distributed databases for scale-out applications
Apache cassandra
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You will learn to:
Understand Cassandra’s architecture, including gossip, partitioners, and snitches
Design distributed data models using Cassandra’s schema
Use CQL to query and manage data
Configure and monitor multi-node clusters
Handle replication, consistency levels, and failover scenarios
Optimize read/write performance and manage capacity
Yes. The course includes interactive labs, cluster simulations, and exercises that walk you through:
Installing Cassandra
Creating keyspaces and tables
Inserting/querying large datasets
Balancing loads across nodes
Using tools like nodetool and cqlsh
Basic understanding of SQL or NoSQL database concepts is required. Prior experience with distributed systems is helpful but not mandatory.
Yes. Participants will receive a Florence Fennel Certificate of Completion in Apache Cassandra, showcasing your ability to work with real-world NoSQL systems.
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Apache Cassandra is an open-source, distributed NoSQL database designed to handle large volumes of data across many servers with no single point of failure. It offers high availability, scalability, and fast write performance.
This course is for: Software developers building data-driven backend systems Data engineers working with real-time analytics or event-driven architectures Database professionals looking to scale beyond traditional RDBMS solutions
Key modules include: Cassandra architecture and peer-to-peer model CQL (Cassandra Query Language) Data modeling and partitioning strategies Replication and consistency mechanisms Setting up and monitoring clusters Performance tuning and backup strategies
During the course, you’ll use: Apache Cassandra (latest stable version) cqlsh (Cassandra shell) Nodetool for cluster operations Monitoring tools for performance analysis
While not a coding-heavy course, knowledge of writing database queries (SQL/CQL) and working with command-line tools is essential. You’ll also work with configuration files and deployment scripts.
Yes. A Florence Fennel Certificate of Completion in Apache Cassandra will be awarded upon successful completion of the course and final project or lab assessments.
After completing the course, you’ll be able to: Design and implement Cassandra-based data solutions Manage and monitor distributed clusters Apply best practices for availability, consistency, and fault tolerance Support real-time, scalable applications for enterprise environments
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