My main use case for Fabric Data is to extract, transform, and load the data.

To start a transformer and load the data using Fabric Data, I transfer the data into one big database for data analytics.

Additionally, the normalization of the database is critical and I use this database for data analytics.

The best features Fabric Data offers are its versatility, as you can use data fabric for many uses in one single platform.

This unique platform for all teams helps because you can use it for various needs such as data analytics, data engineering, and database administration.

Fabric Data has positively impacted my organization by accelerating the development of the software.

It has accelerated my software development because it is a platform that allows you to develop software with a GUI.

I have an idea for Fabric Data regarding improvements.

I would note that Fabric Data is a perfect software, which reflects my thoughts on the needed improvements.

I have been working in my current field for 10 years.

Fabric Data is stable based on my experience.

Fabric Data is scalable.

To clarify, I have not tried the changes regarding Fabric Data's scalability.

Microsoft support is the best for Fabric Data.

I would rate the customer support for Fabric Data as a 10.

Before choosing Fabric Data, I did not evaluate other options.

Regarding my experience with pricing, setup cost, and licensing, I have one year of experience.

I am a partner with this vendor beyond being just a customer.

I have indeed seen a return on investment with Fabric Data.

I measured that return on investment through time savings, which reflects increased productivity.

My experience with the pricing for Fabric Data shows that it is a little expensive.

Before choosing Fabric Data, I did not evaluate other options.

The advice I would give to others looking into using Fabric Data is to focus on data analytics. I have provided an overall rating of 9 for this product.

I am leading the entire Fabric Data CI/CD project, where the development has already been completed in Fabric Data. I am here to enable CI/CD and environment segregation in Fabric Data, where I use Fabric Data CI/CD libraries. I also work on a data engineering project where I build pipelines from end to end.

I have used the Fabric Data CI/CD library and MD files to create the pipelines. I have also used Copy Data activities in Azure Data Factory.

Because it is under one ecosystem, our time has been saved. Cost has been saved but not as much as I expected it to be.

Money and time have been saved significantly. The training and cost of training for people has reduced because Fabric Data is quite easy to understand.

The best features are that the entire ecosystem is inside Microsoft and it is under a SaaS platform. I do not have to rely on any other tools or cross-functional tools to deploy or develop. The entire CI/CD, from development to testing to deployment, the entire operation can be done under the same Fabric Data platform.

The all-in-one system has been the most helpful for me.

Earlier we used to rely on different tools and had to purchase different enterprise-level tools. Different billing used to happen and they were not in line or were very inconsistent. Now that the entire thing comes under a single ecosystem, we do not have such issues.

Fabric Data needs more ecosystem support.

It needs a lot of support on the CI/CD part. It is still in development.

It needs more improvement on aspects like CI/CD.

I have been using Fabric Data for four months.

Currently, as Fabric Data is new, Microsoft is constantly developing it. There were a lot of issues in the initial days, but now Microsoft is working and trying to make it better every day.

Fabric Data does not have scalability issues.

Customer support receives a rating of six out of ten because they themselves are trying to figure out what is new and what the issue is.

I did not switch anything. Since the start, I have been in Azure and Azure cloud only.

I was considering choosing Databricks, but we are Microsoft partners, so I did not.

The initial setup was smoother than other tools.

The implementation team can use Fabric Data properly.

My overall review rating for Fabric Data is six out of ten.