Amazon Redshift is a fully managed data warehouse solution that allows you to efficiently analyze all your data using your existing business intelligence tools. While Amazon Redshift is one of the industry's top data storage solutions, many considerations need to be made before using AWS Redshift. One of the primary elements of any cloud-based storage solution is knowing how to transfer and secure data properly. Here, we will break down how to properly move data to and from the AWS Redshift platform.

When dealing with large data sets, it is not feasible to manage data transfers without tools that can efficiently scale. Heroku provides effective data management resources for managing data sets in your cloud data warehouse, but you still need tools that can make the ETL process simpler and as automated as possible. Here are the top five ETL tools for Heroku.

ETL (Extract, Transform, Load) is an important part of how companies manage their data. Using the ETL framework, it is possible to take the data your business collects and put it into cloud databases. Aggregating data on a massive scale becomes possible since all of the data sent to the data warehouse can be transformed into something that they can store and effectively manage.