The most common issue we face as an AWS developer is to make the environment secure and to optimize the usage of the services. Something Like RDS could cost a lot if not optimized properly . Lambda is also costly if its not optimized in a automation environment ( Cause It can be called several times in a day if not monitored properly in a automated environment ). Now to the storage part the S3 if not mapped properly it can cause a lot of difficulty while shorting the data so its advisable to always have proper indexing directories so that if we optimize the application the data's are not scat ..read more

It Depends on what position you are going for as for me as an AWS Developer I would say some thing like this "AWS is like an ocean of services . The services that I use on a day to day basis are EC2 , EBS , S3 , RDS and cloud watch . Depending on the Environment setup I may have to use Load Balancing , Auto Scaling (both Horizontal and Vertical Scaling depending on the needs ), Route 53 , Elastic IP's , Code Commit (and the Pipeline ) , Lambda etc ..read more

A data lake is a centralized repository that allows you to store all your structured and unstructured data in a large scale. You can store your data without having to structure the data, and run different types of analytics from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions ..read more

It is a way to analyze Information and systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software ..read more

Amazon EFS provides simple, scalable, elastic file storage for use with compute instances on the AWS Cloud and on-premises servers. Amazon EFS is easy to use offering a simple interface that allows you to create and configure file systems quickly and easily.  While Amazon EFS supports file storage, Amazon Web Services also provides support object storage with Amazon S3 and block storage with Amazon EBS. When deciding if you should be using file, object, or block storage for your cloud application deployment, there are many factors to consider. Here, we compare Amazon EFS to Amazon S3 and A ..read more

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You can use Amazon Comprehend to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents. The source of this text could be web pages, social media feeds, emails, or articles. You can also feed Amazon Comprehend a set of text documents, and it will identify topics (or group of words) that best represent the information in the collection. The output from Amazon Comprehend can be used to understand customer feedback, provide a better search experience throug ..read more