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Talend Data Quality Valuable Features

SP
IT Manager at a insurance company with 10,001+ employees

It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. 

It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. 

It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it.

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Jugal Dhrangadharia - PeerSpot reviewer
Associate Team Lead at a tech services company with 51-200 employees

Currently the best open source data quality tool available as compared to other open DQ tools ('DataCleaner', 'Open Source Data Quality & Profiling') for of a variety of reasons:

  1. Vast connectors to different DB, Web, CRM, etc
  2. Custom code is allowed
  3. Wide range of advanced algorithms
  4. Recommended for advanced users
  5. Detailed analysis, etc
  6. Large community of users

The most valuable features for us are: custom code, connectors, algorithms.

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Karthik Babu - PeerSpot reviewer
Senior Consultant at a tech services company with 201-500 employees

The solution is customizable.

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Buyer's Guide
Data Quality
September 2022
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