Big data, the huge amount of structured and unstructured information will slow down most traditional approaches to data management. Cloud providers such as Amazon Web Services are contributing powerful, profitable approaches to analyze big data. Analytics can make organizations "self-healing" or "self-optimizing."The AWS services directory has a mixture of SQL and NoSQL database technology. Amazon DynamoDB is a managed NoSQL database service has a single-digit millisecond latency that makes it a fine fit for big data project where fast line with the data is a must.  The first difficulty need to think in big data analytics is data amalgamation. Amazon Relational Database Service (RDS) is a relational database that can sort in the AWS cloud. Amazon Redshift  (Oracle), which is a petabyte-scale database intended for big data analytics and data warehousing. Finally, Amazon Elastic MapReduce is a Hadoop file system structure on Amazon Elastic Compute Cloud decrease queries. Read more at: 

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