360 view of data management with Talend
Use Cases and Deployment Scope
With Talend, almost all the angles of using Data are covered and we are able to create complex integrations satisfying the needs of our clients. Key factors driving the business decision: -Strong user community -Product roadmap and future vision -Strong services expertise -Product functionality and performance. Talend is a really good middleware that plays a key role in hybrid complex scenarios.
Pros
- Generated optimized code for building data pipelines.
- Ingested and integrated data from both On-Premises and Cloud environment.
- Created roles for data cleansing, or need to trace data lineage to ensure compliance and integrity.
Cons
- Hadoop-related and big data components need to be rewritten and improved by Talend.
- The exception handling is not convenient. You can either let go of the exception or stop the process or use an external controller to resume the applications. But you cannot customize the try-catch block of the exception itself.
- Sometimes you have to use "Ctrl" sometimes "Cmd" is really badly done. In my experience the speed of learning clashes with the consumption of resources and the slowness of the interfaces. An interface made in pure Java requires more time to implement but is definitely more performing.
Most Important Features
- Providing a single environment for accessing and collecting all data, no matter where it’s located and no matter how it’s stored – eliminating data silos.
- Future-proofing the data management infrastructure as new data sources and endpoints, along with new technologies, can be added to the data fabric without disrupting existing connections or deployments.
- Data drives competitive advantage for every business.
Return on Investment
- Open source
- Full of transformations to support different scenarios
- Integration support with Big Data and MDM.
Alternatives Considered
Pentaho
Other Software Used
Pentaho, Informatica Cloud Data Integration, IBM InfoSphere DataStage
