We need to have a data pipeline tool to ensure consistent data processing for the initial setup. We create a framework, read the code, and execute it in a data catalog. The size of the maintenance team depends on the project and the use cases. Usually, one backup team of four or five DevOps executives takes care of the backend and database.

We need to separate our environments into production and development. We use GitHub for source control, Jenkins for the deployment pipeline, and a standard CI/CD tool to deploy code changes into production.

We need to develop a deployment framework so developers only need to provide the code for their projects. The underlying engine then deploys the code, reads it, addresses the EMR filter, executes it, and completes the data processing.

You don't need to deploy anything. You just start. You go to the computer and start using EMR.

Sometimes we found some strange things. We've had some exceptions. Various versions can be used, however.

The initial setup was very easy. It's not overly complex or difficult. 

We can deploy the solution in a single day. It's very fast to get up and running. 

There's a team of ten people that can handle the setup and maintenance of the product.

The initial setup of Amazon EMR is very easy. The time it takes for the full deployment of the solution depends on our Terraform script. However, it typically takes a maximum of 30 minutes to deploy any cluster.

The initial setup is straightforward. 

The initial setup of Amazon EMR is straightforward if you know the basics and have knowledge of big data and architecture. The AWS documentation also helps with the deployment. Initially, the deployment takes a few hours and then it becomes easy. 

The maintenance depends on your application and specific requirements, but for deployment, you don't need a much bigger team, probably a team of one cloud guy should be enough.

The initial setup is straightforward, and deployment takes between 15 and 20 days.

The installation is easy. It can be set up with a few clicks.

The initial setup was time-consuming, and deployment took approximately 30 minutes. In addition, one person was required for deployment and maintenance.

The solution's initial setup is very easy since it's all about cloud service deployment.

The platform's initial setup process is easy. The time taken for deployment depends on specific project requirements. It takes approximately an hour to complete.

The installation is straightforward because you can do it from the AWS Console or with Terraform. You can do it yourself. 

It was one of those things where once you figured it out, you've got it. With this big data stuff, you put in a lot of work, trying to set something up and then you sort of set it and forget it.

Amazon has made it much easier since I first started with it. Once you get the cluster set up, if you set it up in the graphical interface, just point and click, you can actually copy a script that you could run from the command line to create that cluster. That is extremely helpful and that's the way that most people do it in production. You have a script and you run and it comes up. So it's a one-button kind of thing.

They tried to make it easy. It was fairly simple once you got through the complexity of everything that was involved with it.

The initial setup is simple when you know the tool, but when you don't know the tool you need to look through the documentation. One of our team carried out deployment. We recently rebuilt our data lake and it took a day to get the right configuration.

The initial setup of Amazon EMR is easy.

The initial setup is pretty straightforward. It's not extremely complex.

However, it's difficult to reset the multi-factor authentication once it is set up. This was an issue for me when we lost the phone.

It was straightforward.

It was complex to configure.