There's no consultant involved in this as far as the platform architecture is concerned because I own that architecture end to end.

We implement the solution for customers. 

Deployment can take some time because you first have to collect and develop the data through client relations. This can cause lags. 

One of the benefits of Microsoft Azure Synapse Analytics is that you shouldn't have to do any maintenance. It's all done behind the scenes. There is a serverless feature, where it'll expand and add RAM and add resources as needed. You have to be careful with the cost.

We need assistance from a third-party vendor for product implementation.

For deployment, basically, I navigate to the Azure portal. I have my container ready, and I connect it to my repository. I use a deployment pipeline to deploy the solution. Sometimes, I use the Azure CLI to put in my code and connect it. It really just depends on where I'm getting my data from. It doesn't take me long, just a few minutes. It just depends on how I'm trying to access the data.

I work with one other person, so it's not just me. So, two people were involved in the process. 

You have to go to the resources and the security SSC group and the system for deployment. It can be done in-house. 

We accomplished the deployment of the solution by ourselves with the assistance of two architects and four DevOps professionals.

We are currently working with around five or six people for the deployment. Moreover, about four or five people are needed for maintenance.

The solution was implemented through a third-party vendor team. 

We had one admin complete the initial setup in ten to twenty minutes.

We implement the solution for our customers. 

We have a team that does the implementation.

The implementation is completed in-house.

We are a Microsoft partner and have setup and built Azure Synapse based solutions for our manufacturing, energy and healthcare clients. We are very customer centric and build and manage solutions based on our clients needs. We recommend what the best technology stack is for them. 

Compared to the traditional data center approach, the cloud has pushed forward well for maintenance reduction. There is a 60 to 80 percent reduction.

We did the implementation of Microsoft Azure Synapse Analytics in-house.

We have a cloud services team with approximately three or four people and they take care of everything we need to support Microsoft Azure Synapse Analytics.

It took approximately six months to implement Azure Synapse Analytics in our organization. We set up the data warehouse features for internal use across 200 users, including data specialists, service managers, and tech workers who manage our own data and also our customers' data.

For the main deployment, we used a third-party support provider in Chile who helped us greatly.

We hired a consultant to help us with the implementation of the solution.

We completed the setup in-house. 

I am a consultant. I implemented the solution myself.

We had a partnership with another team and together we did the installation. They helped us to figure out some architectural decisions which they were very helpful with.

We implement this product for our clients.

It depends on whether you have those resources internally or not. If you have internal resources you wouldn't need to outsource, if you don't have, you would. So it's not a matter of how good that application is but a question of whether you have the capability in house.

We handled the implementation ourselves. We taught ourselves about the process as we went.

We implemented it with our in-house team. I was part of the team, one of my colleagues was the solution architect, and we have some engineers that assisted us. It was a team effort.

We deployed the solution in-house, and we also deploy it for our clients.

We completed the deployment in-house, we did it ourselves. We also implement it for our clients. 

It's pretty straightforward, we do not need help with this.

There was actually one consultant at the beginning of the project. We will also definitely need someone for future migration. However, it's not something that we are considering at present. It's something we'll need to do probably in the next few months. It will depend on the growth of the business.

We deployed it ourselves.

We implement this solution for our customers.

You don't really need to maintain it. That's the entire point of the cloud. You pay for it to be maintained. 

We do deal with monitoring and other similar things, but most of the activities are automated. Overall, it doesn't require a lot of labor around it. We're delivering the platform as infrastructure as a cloud, so everything is going through the pipeline. 

We used an integrator, TPC US, to assist us with our deployment, and I highly recommend them.