A global pharma company has a tie-up with hospitals across the globe. The hospitals share patient reports with the pharma company, which are further analyzed & used to create new drug formulations. Daily large numbers of reports are shared by these hospitals, which are uploaded from various sources. Pharma firm is planning to tie up with more hospitals, which will increase the data load. These uploadings should be scalable to save a large amount of data for further analysis. Which of the following can be used for a scalable application solution in AWS?

Answer options:

A.Use AWS Kinesis Streams to upload data to Amazon Redshift.
B.Use AWS Kinesis Firehose to upload data to Amazon Redshift.
C.Use AWS Kinesis Streams to upload data to Amazon RDS.
D.Use AWS Kinesis Firehose to upload data to Amazon RDS.

Correct Answer – B
Amazon Kinesis Firehose is a scalable option to load data to analytical tools like Amazon Redshift from multiple sources. Amazon Redshift can be used for complex analytical queries for large amounts of data. 
Option A is incorrect as AWS Kinesis Streams cannot directly upload data to Amazon Redshift. Additional applications need to be installed to get these data from Kinesis Streams & upload them to Amazon Redshift.
Options C & D are incorrect as Amazon Redshift will be a better option for analyzing large streams of data instead of Amazon RDS.
For more information on using Amazon Redshift with Kinesis Firehose, refer to the following URLs-
https://aws.amazon.com/kinesis/data-firehose/
https://aws.amazon.com/redshift/faqs/