Today, many organizations want to gain further insight using the vast amount of data they generate or have access to. They may want to perform reporting, analytics and/or machine learning on that data and further integrate the results with other applications across the organization. More and more organizations have found it challenging to meet their needs with traditional on-premises data analytics solutions and are looking at modernizing their data and analytics infrastructure by moving to cloud. However, before they can start analyzing the data, they need to ingest this data into cloud and use the right tool for the right job. This paper outlines the patterns, practices, and tools used by AWS customers when ingesting data into AWS Cloud using AWS services.