Informatica Intelligent Cloud Services Reviews

One of the projects I am currently working on, MVDW, involves a very huge volume, but without any major blockers, we are able to implement the code effectively. For the current MVDW project, we have around 100 plus integrations, and it is not a complex project; we can categorize it as medium complexity. However, the volume is significant since we are dealing with client data and PHI data, which is very large, but we have not faced any challenges concerning volume.

Informatica Intelligent Cloud Services can handle a really huge volume of data. Informatica is really a good tool to handle large volumes when it comes to CDI, the Cloud Data Integration tool.

Informatica Intelligent Cloud Services is very scalable. The scalability provided by Informatica is commendable, and I don't feel any challenges regarding this aspect. We are able to automate our features effectively.

Informatica Intelligent Cloud Services has good governance and security features. We are dealing with metadata and not playing directly with the data, which means the security measures are very good. From a developer's point of view, only the metadata is visible, which cannot be compromised. Developers do not need to control the actual data; they can build without even interacting with the data itself, so I don't foresee any security issues for developers in this context.

I work in the insurance industry.

For this build, the cloud offering provides scalability and agility for my current project, which is in the insurance domain for CNA insurance. We do end-to-end data management as well as follow a microservices architecture. Additionally, we are using AI and machine learning for tasks such as data discovery, data quality, and generative AI applications for development purposes.

Some of the most valuable features with Informatica Intelligent Cloud Services include master data management, API management, data governance, data quality, and cloud application integration. We can utilize both ETL and ELT capabilities and have the ability to integrate data with different data lakes, even integrating with Snowflake.

The cloud-native platform provides scalability and agility for my current project. Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration.

I use Informatica Intelligent Cloud Services predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.

The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors. A connector is a piece of software that allows access to specific solutions such as D365, Snowflake, and various databases. The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort that would otherwise be spent accessing data via other methods like APIs.

On one of my projects, we used Informatica Intelligent Cloud Services for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.

In our current scenario, we are moving our on-premise artifacts, which are on PowerCenter, to the cloud. It was surprisingly quick to get everything working, which has been beneficial for our operations.

The main purpose of this tool is for file transfers related to our Python server.

The data integration and synchronization features in IICS improve the data handling processes.

I haven't had the chance to explore all the features in-depth since we've only been using them for a couple of months.  

I use Informatica Intelligent Cloud Services since it is a platform that offers cloud data governance or cloud governance policy, making it applicable to what you need. For customers who just want to understand the data better, make better decisions, provide better service, and avoid any sort of legal issues during the vacation period of its users, The product keeps up with some of the standards to adhere to some of the use cases.

The most valuable feature of the product is that, as a platform, it helps with data quality, and everything is sort of one console. The on-prem version of the product has different applications and different user interfaces, offering users consistency in the look and feel, which I like about the product.

We utilize Intelligent Cloud Services for various transformations during mapping, applied logic, and data manipulation. We use it to complete tasks such as using joiner, filter, and expression transformation to load data into the target table. It can integrate with any cloud system.

There are two things regarding synchronization: one synchronizes the source to the target, which can be incremental, and the other is non-incremental. This functionality keeps the data updated with the latest information.

The company I work for has a huge supplier database with a billion records, so Informatica Intelligent Cloud Services is a data integration tool used for migrating the legacy data to Informatica MDM (master data management), then moving to the cloud. It's GCP and PCF (Pivotal Cloud Foundry).

I've also used Informatica Intelligent Cloud Services for moving data to SAP Ariba and SAP S/4HANA.

Informatica Intelligent Cloud Services is used for multiple technology in legacy mainframes, Oracle, some PeopleSoft, some Java-based applications, some in-house, QAD to MDM, or to SAP S/4HANA, or SAP Ariba, so it has various use cases, from legacy to cloud, legacy to MDM, and MDM to S/4HANA, etc.

The feature I found most valuable in Informatica Intelligent Cloud Services is the mapping. You just drag, and it maps the data. Mapping is very easy, and it's no code.

When you migrate data or when the data interaction happens at the source and destination, the challenge is that you'll get different formats. The validation has to be done in the middleware, and the transformation should happen. In Informatica Intelligent Cloud Services, it's very easy to do data validation and transformation compared to any other tool.