Different ways of ingesting data from on-premises into AWS

With the increasing demand for data-driven use cases, managing data on on-premises servers is pretty tough at the moment. Taking backups is not easy when you deal with a huge amount of data. This data in data lakes is used to build deep neural networks, create a data warehouse to extract meaningful information from it, run analytics, and generate reports.

Now, if you look at the available options to migrate data into AWS, this comes with various challenges too. For example, if you want to send data to S3, then you have to write a few lines of code to send your data to AWS. You will have to manage the code and servers to run the code. It has to be ensured that the data is commuting via the HTTPS network. You need to verify whether the data transfer was successful. This adds complexity as well as time and effort challenges to the process. To avoid such scenarios, AWS provides services to match or solve your use cases by designing...