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Apache Cassandra is an open-source, distributed NoSQL database management system designed for high availability, scalability, and fault tolerance. It was originally developed by Facebook and later open-sourced as part of the Apache Software Foundation.

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BEST APACHE CASSANDRA Training in Pune/ Online

Duration of Training  :  32 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

Module 1: Introduction to Apache Cassandra

  • Overview of NoSQL databases and Cassandra.
  • History and evolution of Cassandra.
  • Cassandra’s features and use cases.
  • Distributed database concepts.

Module 2: Cassandra Data Model

  • Understanding the Cassandra data model (tables, rows, columns).
  • Primary keys and clustering columns.
  • Data types in Cassandra.
  • Composite keys and collections (sets, lists, maps).

Module 3: Data Modeling in Cassandra

  • Best practices for data modeling.
  • Denormalization and designing for queries.
  • Understanding the CAP theorem in the context of Cassandra.
  • Creating and managing tables in Cassandra.

Module 4: Querying Data in Cassandra

  • CQL (Cassandra Query Language) basics.
  • SELECT statements and filtering data.
  • UPDATE, DELETE, and INSERT operations.
  • Batch operations and lightweight transactions.

Module 5: Data Distribution and Replication

  • Cassandra’s distributed architecture.
  • Partitioning and data distribution.
  • Replica placement and consistency levels.
  • Handling data distribution and replication for high availability.

Module 6: Tuning and Optimization

  • Monitoring and metrics in Cassandra.
  • Tuning Cassandra for performance.
  • Compaction and compression strategies.
  • Handling large-scale data.

Module 7: Security in Cassandra

  • Authentication and authorization.
  • Encryption and SSL/TLS.
  • Data encryption at rest.
  • Securing Cassandra clusters.

Module 8: Backup and Recovery

  • Backup strategies and options.
  • Point-in-time recovery.
  • Backup and restore procedures.
  • Data durability and fault tolerance.

Module 9: Apache Cassandra Operations

  • Deploying Cassandra clusters.
  • Managing nodes and adding/removing nodes.
  • Maintenance and upgrades.
  • Troubleshooting common issues.

Module 10: Integrations and Ecosystem

  • Using drivers and client libraries (Java, Python, etc.).
  • Integrating Cassandra with other technologies (Spark, Elasticsearch, etc.).
  • Exploring the Cassandra ecosystem and tools.

Module 11: Use Cases and Real-World Examples

  • Case studies and examples of Cassandra in production.
  • Architectural patterns and best practices for specific use cases.
  • Building scalable and fault-tolerant applications.

Module 12: Advanced Topics (Optional)

  • Time-series data modeling.
  • Multi-datacenter and cross-region replication.
  • Consistency and tunable consistency.
  • Advanced troubleshooting and performance optimization.

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