Notable Internet Applications of NoSQL Cassandra Database

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-3
Year of Publication : 2019
Authors : Jaskiranjit Kaur, Chitranjanjit Kaur, Swati
DOI :  10.14445/22312803/IJCTT-V67I3P126

MLA

MLA Style: Jaskiranjit Kaur, Chitranjanjit Kaur, Swati "Notable Internet Applications of NoSQL Cassandra Database" International Journal of Computer Trends and Technology 67.3 (2019): 137-141.

APA Style:Jaskiranjit Kaur, Chitranjanjit Kaur, Swati (2019). Notable Internet Applications of NoSQL Cassandra Database. International Journal of Computer Trends and Technology, 67(3), 137-141.

Abstract
Cassandra is a distributed database designed to be highly scalable both in terms of storage volume and request throughput while not being subject to any single point of failure. This paper presents an features and notable internet applications of nosql Cassandra and discusses how its works with scalable multi-master database with no single points of failure. Additionally, a project is supplied demonstrating how Cassandra can be leveraged to store and query high-volume, consumer-oriented data. Cassandra is in use at Digg, Facebook, Twitter,Reddit, Rackspace, Cloudkick, Cisco, SimpleGeo, Ooyala, OpenX, Netflix and more companies that have large, active data sets. The largest production cluster has over 100 TB of data in over 150 machines. Data is automatically replicated to multiple nodes for fault-tolerance. Replication across multiple data centers is supported. Failed nodes can be replaced with no downtime. Every node in the cluster is identical. There are no network bottlenecks. There are no single points of failure.

Reference
[1] https://www.tutorialspoint.com/cassandra/cassandra_data_model.htm
[2] https://blog.panoply.io/cassandra-vs-mongodb
[3] https://data-flair.training/blogs/cassandra-features
[4] http://www.datastax.com/products/datastax-enterprise-production-certified-cassandra
[5] http://www.ijettjournal.org/2015/volume-26/number-5/IJCTT-V26P245.pdf
[6] https://db-engines.com/en/ranking
[7] https://en.wikipedia.org/wiki/Apache_Cassandra
[8] https://www.datastax.com/2015/09/top-cassandra-sessions-for-advanced-cassandra-users
[9] https://vimeopro.com/user35188327/cassandra-summit-2015/video/143826965
[10] https://cdsweb.cern.ch/record/1432912
[11] https://www.mail-archive.com/This email address is being protected from spambots. You need JavaScript enabled to view it./msg01163.html
[12] https://www.slideshare.net/martincozzi/cassandra-formspring
[13] https://www.javacodegeeks.com/2016/06/cassandra-heart-globos-live-streaming-platform.html
[14] https://techblog.constantcontact.com/tech-talk/cassandra-sharded-mysql-scaling/
[15] https://www.datastax.com/resources/casestudies
[16] http://www.datastax.com/wp-content/uploads/2011/06/DataStax-CaseStudy-Mahalo.pdf
[17] https://www.slideshare.net/eonnen/from-100s-to-100s-of-millions

Keywords
Digg, Facebook, Twitter,Reddit, Rackspace, Cloudkick, Cisco, SimpleGeo, Ooyala, OpenX, Netflix