IT Consultant at a tech services company with 201-500 employees
Real User
Top 10
Sep 26, 2025
My main use cases for Talend Data Integration are ETL processes and data migration, but also automation of recurring data flows. For example, in one project, I used Talend Data Integration to extract sales data from multiple CSV files, provided daily, clean and normalize the data, and then load it into a SQL Server database. This automated process replaced a manual task, reduced errors, and ensured that the reporting team always had updated data available. In another case, I used Talend Data Integration to migrate data from Oracle to SQL Server, including handling data type conversions and ensuring data quality during the transfer. Talend Data Integration helped automate recurring data flows. For example, I set up jobs that would automatically extract daily files from an input directory, validate and clean the data, and then load it into our SQL Server database. Once deployed, these jobs run on a schedule without manual intervention. This saved a lot of time because the process used to take several hours manually. It also reduced errors, since the validation rules in Talend Data Integration ensured that only clean and consistent data was loaded. It made the overall workflow much more reliable and efficient.
Superintendente de TI (CIO) at a insurance company with 201-500 employees
Real User
Top 5
Apr 11, 2024
Our primary use case involves integrating diverse data sources into our projects. These sources include data servers, fax files, CSV files, databases such as SQL and Postgres, and various other formats like Excel.
Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite...
My main use cases for Talend Data Integration are ETL processes and data migration, but also automation of recurring data flows. For example, in one project, I used Talend Data Integration to extract sales data from multiple CSV files, provided daily, clean and normalize the data, and then load it into a SQL Server database. This automated process replaced a manual task, reduced errors, and ensured that the reporting team always had updated data available. In another case, I used Talend Data Integration to migrate data from Oracle to SQL Server, including handling data type conversions and ensuring data quality during the transfer. Talend Data Integration helped automate recurring data flows. For example, I set up jobs that would automatically extract daily files from an input directory, validate and clean the data, and then load it into our SQL Server database. Once deployed, these jobs run on a schedule without manual intervention. This saved a lot of time because the process used to take several hours manually. It also reduced errors, since the validation rules in Talend Data Integration ensured that only clean and consistent data was loaded. It made the overall workflow much more reliable and efficient.
We use it with internal Linux servers for deployment, utilizing Azure DevOps, not AWS.
Our primary use case involves integrating diverse data sources into our projects. These sources include data servers, fax files, CSV files, databases such as SQL and Postgres, and various other formats like Excel.
We use the product to collect and report data to the Power BI dashboard.
Primary use case: Moving data between datasource and target.
But organisations also use Talend Cloud data integration studio for other IT or business use cases.
We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting.