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Hadoop Vs Cassandra

An open-source Java based framework introduced by Apache.Voluminous data gets processed usually named as Big Data.Manages large amount of data among the list of commodity servers.Delivers high distribution and linear scale performance.

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Hadoop Vs Cassandra

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  1. Hadoop Vs Cassandra

  2. Introduction to Hadoop • An open-source Java based framework introduced by Apache • Voluminous data gets processed usually named as Big Data • Organizes the Structured and Unstructured Data • Most preferable OS are Linux and Windows

  3. Introduction to Cassandra • A distributed NoSQL Database • Manages large amount of data among the list of commodity servers • Delivers high distribution and linear scale performance • Doesn’t accept and store data in any format, but needs a certain structure

  4. Importance of Hadoop and Cassandra in Organizations Hadoop is used by Innumerable businesses who opt to use it due to its extraordinary Data Management and lesser system failure errors. Cassandra is used by businesses to handle their back-end systems or to study the server metrics of the users.

  5. Benefits of Hadoop to Process Big Data Saves and processes Big Data Protects data strongly Brings down Hardware failure Issues Flexible Economical to use Widely accepted by Industries

  6. Benefits of Cassandra to process modern Database Applications Compresses Data faster Computes Faster Constant Availability Linear Scalable Performance Well tuned Data Consistency Multi-data center availability

  7. Companies Using Hadoop and Cassandra • Hadoop Users • Pivotal • Cloudera • Facebook • Dell • Cassandra Users • Walmart • Cisco’s WebEx • IBM • Reddit

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