Talend Data Integration Reviews

48 Ratings
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Score 7.2 out of 100

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Reviews (1-6 of 6)

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Score 10 out of 10
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Use Cases and Deployment Scope

Talend Data Integration is used across our organization. We perform Extract, Transform, and Load using Talend. We integrate various systems such as Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files using Talend Data Integration. We also migrate a lot of data between the system on a one-time basis.
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Score 8 out of 10
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Use Cases and Deployment Scope

Talend Data Integration is primarily used by the data warehousing team. While the management of data warehousing in handled by a single team, they work with data sourced from and sent to all departments across the entire organisation - this makes Talend Data Integration a critical software component for our use cases.
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Sanket Bharaswadkar profile photo
December 19, 2017

Talented Talend

Score 9 out of 10
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Use Cases and Deployment Scope

We have a high amount of excel files coming in from different departments. They all have a different data structure. It was very difficult integrating all the types of data, with different data sizes. We used Talend to integrate data in one format. We had to perform data analysis, pattern recognition. It had a big impact on overall efficiency. We also found several bottlenecks, and narrowed our focus area.
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Josep Coves Barreiro profile photo
Score 9 out of 10
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Use Cases and Deployment Scope

Talend is used to build a corporate data warehouse solution which centralizes all relevant company intel into a single repository. Talend is used for development only by the IT department (as expected) but the information it gathers is used for the whole company. The main problem which talend addresses is to unify different sources of intel by retrieving data from databases, files, web services, the internet, etc.
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Score 10 out of 10
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Use Cases and Deployment Scope

We use the big data edition of Talend Integration Suite. It is used by the Business Intelligence department for extract transform load (ETL). There are more than 400 jobs that pull data or push data from various sources. Talend is used to load data into the enterprise data warehouse. (EDW). I use the big data edition to pull data from hive cluster. There are complex sources like highly nested JSON and XML that can be easily parsed using Talend components. The best thing I like about Talend is the ease of use/debug and ease of deployment. Behind the scenes it uses Java coding, so whatever you do in the interface can be easily visible under code. Packaging and deployment of code is easy too in any environment (Windows or Mac or Linux) with any version of Java compatibility.
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December 14, 2015

Talend DI Suite Review

Score 7 out of 10
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Use Cases and Deployment Scope

Talend Integration Suite has been chosen as the enterprise data integration tool for our client. We were using Informatica Power Center before that. Currently we are recreating the existing power center mapping in Talend to decommission Informatica. All new projects are using Talend DI. Talend has data integration, big data integration, data profiling and master data management components which are widely used in our projects based upon the data requirements.
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Feature Scorecard Summary

Connect to traditional data sources (6)
9.9
Connecto to Big Data and NoSQL (5)
6.8
Simple transformations (6)
9.9
Complex transformations (6)
9.8
Data model creation (6)
8.1
Metadata management (6)
8.7
Business rules and workflow (5)
9.0
Collaboration (5)
5.4
Testing and debugging (6)
5.4
Integration with data quality tools (6)
7.4
Integration with MDM tools (6)
8.0

About Talend Data Integration

The Talend Integration Suite, from Talend, is a set of tools for data integration.
Categories:  Data Integration

Talend Data Integration Technical Details

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