AWS Analytics Overview
The services provided by the analytical tools of AWS are as follows:
The data are organized and controlled by the Amazon Elastic MapReduce with the assistance of the Hadoop technology sharing deals.This tool very simply sets up and manages the Hadoop framework. This tool controls the calculative assets and carries on the MapReduce process. The flowing of the data in larger concern is done by the Amazon Kinesis. We can transfer the information from the Kinesis to any storeroom like Redshift, EMR cluser etc. The Data pipeline manages the transfer of information and also actioning on them. The required pipeline tells about the various parameters like the input information, the terms and conditions for transfer, the location to where the data need to be carried away etc.
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Some of the analytic tools are –
|Amazon EMR||It uses Hadoop, which is an open source framework, for managing and processing data. It uses the MapReduce engine to distribute processing using a cluster.|
|AWS Data Pipeline||It helps in regularly moving and processing data. Using a pipeline, we define the input data source, the computing resources in order to perform the processing, any conditions that must be validated before performing any processing is also defined, and the output data location such as Amazon S3, Amazon DynamoDB etc is to be defined.|
|Amazon Kinesis||Amazon Kinesis allows real-time processing of streaming data at a humongous scale. One can also send data from Amazon Kinesis to a data warehouse, such as Amazon S3 or Amazon Redshift or to an Amazon EMR cluster.|
|Amazon ML||By the use of Amazon ML, developers can easily use machine learning technology for obtaining predictions for their applications by using simple APIs.|
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