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Big Data Over View Hadoop Overview What is Cassandra? Why Other Systems unable to solve the issue Advantages of Cassandra Architecture of Cassandra Design Models of Cassandra Use cases of Cassandra Industries implementing Cassandra Job Opportunities in Cassandra
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Big Data Over View
Big Data is a Paradigm which deals with the huge Data Sets. It is emerging as a major one from the next generation technologies.
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Hadoop Overview Hadoop is the open Source Technology which
analyze the Big Data in a Distributed Environment with simple Map and Reduce Phases. It gained popularity because of it’s Reliable , Better performance , Scalable and also deals with variety of data
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What is Cassandra? Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure
It may or may not depend on Hadoop
i.e It has it’s own Cluster setup
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Why Other Systems unable to solve the issue
RDBMS is suitable for Dense Tables
Scalability issues with the RDBMS. Joins are slow
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Architecture of Cassandra Only one type of Server (Cassandra)
Ring bases Replication (No Master or Slave)
No single point of failure
Replication Factor 3 (RF=3)
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Features of Cassandra Elastic scalability - Cassandra is highly scalable; it allows to add more hardware to accommodate more customers and more data as per requirement.
Always on architecture - Cassandra has no single point of failure and it is continuously available for business-critical applications that cannot afford a failure.
Fast linear-scale performance - Cassandra is linearly scalable, i.e., it increases your throughput as you increase the number of nodes in the cluster. Therefore it maintains a quick response time.
Flexible data storage - Cassandra accommodates all possible data formats including: structured, semi-structured, and unstructured. It can dynamically accommodate changes to your data structures according to your need
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Features of Cassandra contd… Easy data distribution - Cassandra provides the flexibility to distribute data where you need by replicating data across multiple data centers.
Transaction support - Cassandra supports properties like Atomicity, Consistency, Isolation, and Durability (ACID).
Fast writes - Cassandra was designed to run on cheap commodity hardware. It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency.
Fast writes - Cassandra was designed to run on cheap commodity hardware. It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency
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Use cases of Cassandra Large Deployments
Lots of Writes, Statistics, and Analysis
Geographical Distribution
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Other Industries Implementing Cassandra Talentica Software uses Cassandra as a back-end for Analytics Application with Cassandra cluster of 30 nodes and inserting around 200GB data on daily basis.
AppScale uses Cassandra as a back-end for Google App Engine applications
The CERN ATLAS experiment uses Cassandra to archive its online DAQ system's monitoring information
Cloudkick uses Cassandra to store the server metrics of their users.
Constant Contact uses Cassandra in their social media marketing application.
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Other Industries Implementing Cassandra Talentica Software uses Cassandra as a back-end for Analytics Application with Cassandra cluster of 30 nodes and inserting around 200GB data on daily basis.
AppScale uses Cassandra as a back-end for Google App Engine applications
The CERN ATLAS experiment uses Cassandra to archive its online DAQ system's monitoring information
Cloudkick uses Cassandra to store the server metrics of their users.
Constant Contact uses Cassandra in their social media marketing application.
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THANK YOUfor attending Demo of
Cassandra
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