Informatica Data Quality is not a tool that any person with ETL knowledge can use. Proper training on the tool is necessary, as it is somewhat complex. A minimum of one month of training is required before operating in the production environment. Additionally, reviewing the documentation is crucial before working with the tool. When we want to work on a large dataset, and we want to scale the data down or up, it requires a lot of work. We also need to reboot the server every time there is a data scalability issue. Additionally, the pricing factor is quite high for the kind of features it offers. The customer support for Informatica Data Quality is not up to mark, but the documentation is somewhat relatable from which we can learn about the features and problems. My overall review rating for Informatica Data Quality is 7 out of 10.
Informatica Data Quality is not a tool that any person with ETL knowledge can use. Proper training on the tool is necessary, as it is somewhat complex. A minimum of one month of training is required before operating in the production environment. Additionally, reviewing the documentation is crucial before working with the tool. When we want to work on a large dataset, and we want to scale the data down or up, it requires a lot of work. We also need to reboot the server every time there is a data scalability issue. Additionally, the pricing factor is quite high for the kind of features it offers. The customer support for Informatica Data Quality is not up to mark, but the documentation is somewhat relatable from which we can learn about the features and problems. My overall review rating for Informatica Data Quality is 7 out of 10.