Section outline

• Select section Day 1: Cassandra Architecture & Fundamentals

  Day 1: Cassandra Architecture & Fundamentals

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  • Distributed architecture, CAP theorem, nodes, rings

  • CQL basics, installing Cassandra, cqlsh commands

  • Read/write internals, TTL, tombstones

  • Materialized views, indexes, data ingestion

  • Lab: Single-node setup, data modeling, DevCenter usage
• Select section Day 2: Cluster Setup & Security

  Day 2: Cluster Setup & Security

  • Multi-node clusters, configuration tuning

  • Replication strategies, authentication & authorization

  • Data encryption (node-to-node, client-to-cluster), masking

  • Lab: DSE cluster setup, data center replication, security labs
• Select section Day 3: Data Modeling & Data I/O

  Day 3: Data Modeling & Data I/O

  • Logical to physical modeling, partitions

  • Import/export: COPY, DSE bulk loader

  • Lab: Hotel booking use case, performance-optimized schema
• Select section Day 4: Monitoring & Java SDK

  Day 4: Monitoring & Java SDK

  • Performance tuning, caching, compaction

  • OpsCenter, nodetool, JMX, Solr indexing

  • Integration using Cassandra Java SDK

  • Lab: Spring Boot + Cassandra REST API app
• Select section Day 5: Spark Integration & ETL

  Day 5: Spark Integration & ETL

  • Spark DataFrame & architecture, RDD vs DataFrame

  • ETL pipelines, joins with Cassandra, streaming with Kafka

  • Lab: Data migration, Spark joins, Java SDK data loader