Developer Training on Apache Cassandra (with Internship + Project Letter)

Developer Training on Apache Cassandra (with Internship + Project Letter)


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18% GST Extra

Starting from: 01-10-2020

If interested kindly fill the inquiry form

  • Basic Level: 2 days
  • Advanced Level: 3 Days
Course Outline

Developer Training on Apache Cassandra

Level: Basic

Introduction to RDBMS and NoSQL Databases

  • Traditional Database Management System
  • Limitations of RDMS
  • NoSQL databases
  • Common characteristics of NoSQL databases
  • CAP theorem
  • Different Types of NoSQL Databases
  • How Cassandra solves the Limitations
  • History of Cassandra
  • Use Cases
  • Quiz

Introduction To Apache Cassandra

  • Features of Cassandra
    • Distributed
    • Horizontal Scalability
    • Fault Tolerance
    • High Availability
  • Cassandra Architecture
  • Gossip Protocol
  • Partitioning
  • Data Model vs. Query Model
  • How to approach Cassandra for an application
  • Quiz

Designing Cassandra Database

  • Installation of Single Node Cluster on Windows/Linux
    • Cassandra Configuration File
    • Communication with Cassandra
    • Understanding Ways to Communicate with Cassandra
    • Running the Command-Line Client Interface - Using cqlsh
  • Database Concepts
    • Key Space
    • Key Space Properties - Replication Factor and Replication Strategy
    • Column Family/Table
    • Column Family Properties
    • Data Types - Primitives and Collection
    • Primary key -- Partition Key, Compound Key, Clustering Key and
    • Composite Key
    • Purpose of Primary Key in Data Partitioning and Storage
    • Create, Delete, Update and Read (CRUD)
    • Wide Rows vs. Skinny Rows
    • Time To Live
  • Secondary Indexes in Cassandra
  • Difference between Custom Indexes and Secondary Indexes
  • Materialized Views
  • Lightweight transactions
  • Triggers
  • Practical Session
  • Quiz

Understanding Cassandra Database Approach

  • Difference between Relational Modeling and Cassandra Modeling
  • Key Points to note while modeling a Cassandra Database
  • Patterns and Anti-Patterns in Cassandra Modeling
  • Practical Session
  • Quiz
  • Conclusion of First Day

Deep Dive into Apache Cassandra

  • Tokens and vnodes
    • Initial_Token
    • Num_Tokens
  • How data is distributed on multiple nodes and Datacenter
  • How data is written on nodes
    • Tunable Consistency Level
    • Hinted Handoff
    • CommitLogs
    • MemTables
    • SSTable
    • Compaction
  • How data is read from nodes
    • Tunable Consistency Level
    • Read Direct
    • Read Digest
    • Read Repair
    • Bloom Filter and its properties
    • Key Space and its properties
    • Row Space and its properties
  • Tombstones - How Data is deleted
  • Understanding How Update Works

Understanding MultiNode Cassandra Cluster

  • Installation of Multi-Node Cluster on Linux
    • Cassandra Configuration File - seed nodes and bootstrap node
    • Monitoring and Status Info of Cluster using NodeTool
    • Data Import and Export into/from Table from/into CSV file
    • Other DDL and DML Commands of Cassandra
    • Data Movement from one node to other
    • Addition/Removal/replace of a live/dead node from the cluster and its effect
    • Practical Session
    • Quiz
  • Quiz
  • Conclusion of the Second Day

Level: Advanced

Introduction and Recap of Apache Cassandra


  • Different Types of Gossip Protocols
  • How to define Tokens
  • Advantages of dynamic tokens using vnodes over static tokens
  • Rebalancing cluster
  • Practical Session
    • Setup of multinode Cluster on Linux
    • Cassandra.yaml configuration file
    • Configuring gossip settings
    • Configuring the heap dump directory
    • Token setting
    • Configuring/Enabling virtual nodes
    • Commit log archive configuration
  • Quiz

Backup and Restore

  • Taking a snapshot
  • Deleting snapshot files
  • Enabling incremental backups
  • Restoring from a Snapshot
  • Restoring a snapshot into a new cluster
  • Quiz
  • Practice Session
    • Creating Snapshots
    • Restore Snapshot

Performance Tuning

  • How data modeling affects performance
  • Workload characterization
  • Performance characteristics of your cluster
  • Drill-down analysis
  • Latency analysis
  • Thread state analysis
  • Easy performance tuning wins
  • I/O (including hardware)
  • JVM & memory
  • Compaction
  • Compression
  • Quiz
  • Practice Session


  • Snitches
  • Cassandra nodes
  • Specifying seed nodes
  • Bootstrapping a node
  • Adding a node (Commissioning) in Cluster
  • Removing (Decommissioning) a node
  • Removing a dead node
  • Repair
  • Read Repair
  • Run a Repair Operation
  • Tuning Bloom filters
  • Data caching
  • Configuring memtable throughput
  • Configuring compaction
  • Compression
  • Tuning Java resources.
  • Purging gossip state on a node
  • Using Cassandra-stress
  • Moving a node from one rack to another.
  • Decommissioning a data center.
  • Switching snitches
  • Edge cases for transitioning or migrating a cluster
  • Modifying
  • Changing Replication Strategy
  • Security
  • Quiz
  • Practice Session
    • Cassandra Configuration File Setting
    • NodeTool Commands for add, remove, replace nodes
    • NodeTool Commands to move data from nodes
    • NodeTool Commands to determine cluster and nodes status
    • Creating Roles and granting permissions

Introduction To Datastax Cassandra

  • The need for Datastax Cassandra Enterprise
  • DSE Architecture
  • Installation Community Version of DataStax Cassandra
  • Understanding OpsCenter

Managing and Monitoring Cluster

  • Logging
  • Tailing
  • Using Nodetool Utility
  • Using JConsole
  • Learning about OpsCenter
  • Runtime Analysis Tools
  • Practice Session
    • JMX and Jconsole
    • OpsCenter
    • NodeTool
  • Quiz
  • Conclusion of the Training
  • Question Answers
Test & Evaluation

Each lecture will have a quiz containing a set of multiple-choice questions. Apart from that, there will be a final test based on multiple-choice questions.

Your evaluation will include the overall scores achieved in each lecture quiz and the final test.

a) Prerequisites for Basic Level:

1. Knowledge of SQL and Database Concepts

b) Prerequisites for Advanced Level:

1. Knowledge of SQL and Database Concepts

2. Completion of Basic Cassandra Course or practical knowledge of six months.

  • Time-saving & Cost-effective
  • Get trained via industry experts (having 10+ years of experience in the same field, corporate trainers)
  • Full of hands-on practical exposure for better understanding
  • Adding super solid value in your professional career
  • Weekend Doubt clearing sessions.

For inquiry call:  9910043510

Online Live Training Program 2020