How do you or your organization use this solution?
Please share with us so that your peers can learn from your experiences.
Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs. It is tailored and customized to use with SQL Server, which works very well in that platform. If you want to use other data sources, the NoSQL concept makes it very easy, because missing data can be inserted as a new column or with null values. That is not the case with many other tools. If you have on-premises tools, such as IIS, they don't manage missing data well.
We use the solution as a level of loading data from the source systems.
It is a good tool for us. All the implementation in our company is done with AWS Glue. We use it to execute all the ETL processes. We have collected more or less five terabytes of information from the internet by now. We process all this data in our cloud platform and normalize the information. We first put it on a data lake that we have here on the AWS tool. After that, we use AWS Glue to transform all the information collected around the internet and put the normalized information into a data warehouse.
We are using it for file ingestion. Its primary role is to ingest a file from a vendor to a database.
We are collecting some TV audience data and analyzing it.
Which is better and why?