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The open source distributed database management system – Cassandra, is designed to provide high availability with no point of failure while handling massive data sizes across various commodity servers.

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What you'll learn

The Cassandra training course is designed to build a deep understanding of Apache Cassandra for processing very large volumes of data streaming at high speeds to retrieving valuable insights from this data. Duration: 24 Hours


Basic knowledge of Linux


  • A brief into NoSQL
  • CAP theorem
  • When to use NoSQL
  • Columnar storage
  • NoSQL ecosystem
  • Architecture and Design
  • Cassandra nodes, clusters, datacenters
  • Keyspaces, tables, rows and columns
  • Partitioning, replication, tokens
  • Quorum and consistency levels
  • A brief into CQL
  • CQL Datatypes
  • Creating keyspaces & tables
  • Choosing columns and types
  • Choosing primary keys
  • Data layout for rows and columns
  • Time to live (TTL)
  • Querying with CQL
  • CQL updates
  • Collections (list / map / set)
  • Creating and using secondary indexes
  • Composite keys (partition keys and clustering keys)
  • Time series data
  • Best practices for time series data
  • Counters
  • Lightweight transactions (LWT)
  • Labs : creating and using indexes; modeling time series data
  • Deep dive into the Cassandra design
  • Sstables, memtables, commit log
  • Hardware selection
  • Cassandra distributions
  • Cassandra Nodes Communication
  • Writing and Reading data to/from the storage engine
  • Data directories
  • Anti-entropy operations
  • Cassandra Compaction
  • Choosing and Implementing compaction strategies
  • Cassandra best practices for garbage collection, composition, etc
  • Troubleshooting tools and tips

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