What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
Software Consultancyy at Tata Consultancy Services
Real User
2022-03-30T20:10:54Z
Mar 30, 2022
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information...
DataStage allows me to connect to different data sources.
Its data preparation capabilities are highly valuable.
Scalability-wise, I rate the solution a nine or ten out of ten.
It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten.
Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF.
You can model the data there, connect the data models with the business processes and create data lineage processes.
What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance.
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
The most valuable features are data virtualization and reporting.