Cassandra step by step Tutorial 2019

These are the best  step by step tutorials to learn apache cassandra in year 2019.Very well explained point to point detail. These tutorials are very short and very comprehensive.

Cassandra is specially designed for dealing with large volume of  semi structured and structured data that is distributed to different servers.Apache Cassandra is a distributed Big data (database) management tool.

In this Cassandra tutorial, These different topics will be covered and much more.

Topic Wise Tutorials of Cassandra Cluster Setup

Tutorial           CassandraArchitecture

Tutorial          Complete Installation of Casandra on Ubuntu from scratch: A Step By Step Guide

 Tutorial          Comprehensiveand short explanation Cassandra Replication factor concept.

 Tutorial          Casandra Data Modeling with simple andcomprehensive Example

 Tutorial          CreateKeyspace concept in Cassandra. Along with how to Drop & Alter Keyspace inCassandra? Cassandra Create Table.

Tutorial           CassandraQuery Language (CQL): Read Data, Insert, Delete, Update

Tutorial           Comprehensive Tutorial on How tocreate an index and drop an index on Cassandra Keyspace.?

Tutorial           Data Types and TTL (Time to Live), Data Expiration in Cassandra Tutorial

 Tutorial          Collections in Cassandra SET, MAP and List

 Tutorial          Cassandra Cluster Setup on Multiple Machines (Nodes)

 Tutorial          Opscenter Complete Installation and configuration for Cassandra Cluster Health monitoring. A Cassandra cluster manager

Tutorial           DatastaxDevCenter Complete Installation and configuration To Connect with Cassandra Cluster and Query like SQL

 Tutorial          Cassandra SECURITY Authentication – Create a new User & authenticate it With JMX 

Due to the distributed cassandra architecture it is very easy to handle terabytes of data. Data sent to cassandra cluster is distributed to multiple machines with more than one replication factor. The replication factor depend on how critical is your data and what kind of availability you want. Normally it is 3 means one record is replicated on 3 machines for availability in case of some machine failure with no single point of failure.