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Data is distributed across the cluster.
There is no master node; every node can service any request.
Each node contains different data
|Supports replication and multiple data centre replication|
It has distrributed architecture.
It can support multiple data centres for disaster recovery, redundancy
|Scalability||Easily scalable to various machines without any downtime or interruption to any applications|
|Tunable consistency||It offers turable consistency for read and write operations.|
|Mapreduce support||It has Hadoop integration with support for mapreduce, apache pig and apache hive|
|Query language||It introduces cassandra query language|
2) Easy to use: Expose collection data types using relational concepts and standards for existing applications.
3) Codeless Implementation: Optimize performance and compatibility with any application without application changes.
4) Compatible: Certified Data Direct Quality guarantees Apache Cassandra compatibility through explicit testing
5) Fast: Easily load large volumes of data without application code or additional tools that slow performance
CREATE TABLE tbl_monthly (
PRIMARY KEY((station_id), metric, date)
CREATE TABLE tbl_station (
PRIMARY KEY (STATION_ID)