During a course project in AWS or a similar cloud services, imagine running an application that could have access to a Hadoop Distributed File System (HDFS), an Elastic Block Service (EBS) and a Simple Storage Service (S3).
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AWS stands for Amazon web Services.It is a comprehensive ,evolving cloud computing platform provided by amazon that includes a mixture of infastructure as a service,platform as a service and packaged software as a service offerings.AWS is seperated into different services,.Each can be configure in different ways,based on user's needs.User's should be able to see configuration options and individual server maps for an AWS service.
Hadoop distributed file system is the primary data storage system used by hadoop applications.It employs a NameNode and a DataNode architecture to implement a distributed file system that provide high performance access to data acreoss highly scalable hadoop clusters.
Let us know how hadoop running on AWS:
Amazon EMR is managed service that let you process and analyze large datasets using the latest version of bigdata processing framework such as Apache Hadoop,Spark,HBase and presto on fully customizable clusters.
HDFS support rapid transfer of data between computer nodes.when HDFS takes in data ,it breaks the information down into seperate blocks and distribute them to different nodes in a cluster,thus enabling high efficient parallel processing.HDFS is specially designed to be highly fault tolerant.The file system copies each piece of data multiple times and distribute the copies to individual nodes,placing atleast one copy on a different server rack than others as a result data on nodes thta crash can be found elsewhere within a cluster.Ii is
An Elastic Block Service is an easy to use,high performance block storage service designed for use with Amazon Elastic Compute Cloud for both throughput and transactions intensive work loads at any scale.
Amazon Simple Storage Service is an object storage service that offers industry leading scalability,data availability,security and performance.This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases,such as websites,mobile application ,backup and restore ,arvive,enterprise application IoT services and big data analytics.
Some of its benefits are:
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