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CassandraTraining Introduction: Apache Cassandra is a free and open source Database, and it belongs to category of NoSQL database like MongoDB, Amazon DynamoDB. The difference between Apache Cassandra and MongoDB is based on JSON document and then Apache Cassandra is based on key value pairs. Apache Cassandra also provides a high availability with no single point of failure. It has a master less replication meaning there is no master-slave replication with Apache Cassandra. So any number of nodes together can form a master less replication with Apache Cassandra. It is initially developed and it is a child of BigTable and dynamoDB , So the combination or the features or the good features of both BigTable and dynamoDB are adopted and implementation with Apache Cassandra. Cassandra was started in 2008 at Facebook and became an Apache Project in 2014
Overview of CassandraTraining: It have multiple nodes connected together to form a cluster and each node within the cluster would have connectivity between other nodes. The data would replicate across other nodes, so you can configure of how your data needs to be replicated and on how many nodes you want your data to be replicated. This concept is also called as data sharing or scaling. Where you can define of how your data needs to be split and store across the nodes in the cluster. • The Characteristics of these nodes are independent to one another, even if one node goes down the other node will take up the right request on the read request from the Clint.Any node can accept the read and write request a respective of the master or slave, because Apache Cassandra is a master less application. • A data replication and Cassandra nodes will be replicas for piece of data, so each piece of data would be replicated across the nodes. If each time when a data is searched out of the node, the Apache Cassandra would check whether the data is up-to-date it’s not it performs the read repair, if the data is out of the date
Concept of Cassandra Cluster: • A Cluster in Cassandra is basically a collection of Nodes, a Nodes is actually an independent storage area connected in the form of a cluster. The cluster every node is connected to each other. The request can come from any client can be a Java application a Cassandra swift client or a a Cassandra CQL SH client or a web service or any application. • It can send a request to a Cassandra cluster, there is node concept in Cassandra. So any node which is free to service any request will take up the new request. The node which takes the request becomes the coordinator node, a coordinator node will find out the node can service is this request.
Features of Cassandra: • It is very highly scalable and it can scale horizontally to a very great extent, it means we want to increase the size of your cluster. • It is does not provide decision directly however it can be used to make decisions • Big data does not include unstructured data only, it also includes structured data that extends and complements unstructured data • Big data is not a substitute for structured data, since most of the information on the internet is available to anyone. • Apple.com has a Cassandra cluster of 75,000 nodes, storing over 100 petabytes of data. Cassandra is a key-value NoSQL data store. • Fault- tolerant considers a four node Cassandra cluster, in a cluster each node stores copies of same data based on replication factor. • If the cluster node 4 is having a problem in this case three or three other nodes that can be serviced for our request from the application