Amazon Web Services – Data Pipelines

AWS  is A Amazon Web Services, Inc. is A subordinate of Amazon which provides user cloud computing programs and APIs to independent companies, organizations,s, and government departments. This cloud computing web services provider provides several primary abstract technical infrastructure and appropriate computing building blocks and tools.  

This AWS program is executed at server clusters whole over the world and managed by Amazon subordinates. The price is based on the usage of the hardware, software, operating system, networking characteristics that are chosen by the user. This method is named as Pay-as-you-go model. Amazon Web Services data pipeline is a web service that helps users to access easily whenever they want. It also helps in transferring data from several AWS  programs and storage services also in other sites. With the help of AWS, data pipeline user can consistently access their data where the data is stored and we can transfer and use it on another scale, and also we can relocate the outcomes to AWS providers i.e., Amazon S3, Amazon EMR, Amazon Dynamo DB, Amazon RDS.  

AWS data pipeline helps the user to create their complicated data processing functions which can accept errors, repeated data and can be available any time. We can also consider this as an intermediate that approves an IT sector to execute data and transfer between the two services.  

Workflow Of AWS Data pipeline:

To access the AWS data pipeline first we have to create an AWS account on the website.  

• From the AWS webpage, we have to go to the data pipeline and then we have to select the ‘Create New Pipeline’.
• Then we have to add personal information whatever it has asked for. Here we have to select ‘Incremental copy from MYSQL RDS to Redshift.
• Then we have to write all the data which are asked in the parameters for RDS MYSQL details.
• Then arrange the Redshift connection framework.
• We have to schedule the application to run or we can access it for one time run through activation.
• After that, we have to approve the logging form. This is very useful for troubleshooting projects.
• The last step is just to activate it and we are ready to use it.

Pricing Criteria:

Amazon Web Services data pipeline, they charge according to the region, through which the user is accessing these services. This data pipeline implements a tier that is of no cost for accessing the AWS data pipeline services. It varies with frequencies, any user if they use only for one time in a day then it costs less. When any user accesses the services many times in a day then it is called high-frequency activities. Normally the low frequency on AWS charges $0.6 per month and it cost $1.5 per month on the site. For the high-frequency user, it costs $1 per month and on the site, it costs up to $2.5 per month. All the pipeline activities like EC2 components, Redshift databases, EMR clusters, etc., are at normal cost.  

Pros and Cons:

Pros:

1. It is easy to use the control panel with the structured templates which are provided for AWS databases mostly.
2. It is capable of generating the clusters and the source whenever the user needs it.
3. It can organize jobs when the time is scheduled.
4. It is secured to access, the AWS portal controls all the systems and is organized like that only.
5. Whenever any data recovery occurs it helps in recovering all the lost data.

Cons:

1. It is designed mainly for the AWS environment. AWS-related sources can be implemented easily.
2. AWS is not a good option for other third-party services.
3. Some bugs can occur while doing several installations for managing cloud computing.
4. At first, it may seem difficult and one can have trouble while using these services for the starters.
5. It is not a beginner-friendly service. The beginners should have proper knowledge while starting using it.