Talend Data Quality Reviews
Mar 18 2018
What is most valuable?
The numerous components provided by Talend. With these components you’re able to create jobs quickly and efficiently. I also really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may... more»How has it helped my organization?
It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed. We’re... more»What needs improvement?
When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository.
Aug 06 2018
What do you think of Talend Data Quality?
Primary Use Case We have a legacy system (Wins + DB2), which stores all our data. For reporting purposes (from SQL), we need to analyze data. We use it for making decisions, for example, if we want to display data elements in our reports based on if a column ever gets a value entered by user or what are distinct values that we are receiving for transformation purposes. We use it to check patterns, like zip code, state codes, and phone numbers. We also check data value frequency for business decision in mapping from one system to another. • Improvements to My Organization With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects. • Valuable Features We have used value frequency and patterns. We have been...
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Mar 04 2018
What is most valuable?
I like the components provided by Data Quality, such as: * Address standardization * Fuzzy match * Schema compliance check as they pack lot of code, which is required to perform these standard data operations. * Doing the same by coding would... more»How has it helped my organization?
This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.What needs improvement?
* The report generation and using the report in DI job steps could be improved. * There are too many functions which could be streamlined. * The report generated often has too many pages to go through, if not loaded into a DB. * There are... more»
Mar 12 2018
What is most valuable?
* The file fetch process is impeccable. * We are able to get emails from URLs very easily using this function when others fail. * tLogRows are also great for finding bad data.How has it helped my organization?
Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro.What needs improvement?
NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down. When we are dealing... more»Mar 13 2018
What is most valuable?
The ease of transforming data with inputs to TMaps and tJavaRow makes life so easy.How has it helped my organization?
It lowers the amount of time in development from weeks to a day.What needs improvement?
There is one place where I would appreciate an upgrade, if it is possible. If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved... more»Articles
User Assessments By Topic About Talend Data Quality
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What is Talend Data Quality?
The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.Talend Data Quality customers
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