Google Cloud Dataflow vs. Informatica Data Archive (legacy)

It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.

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To manage users, go to the admin dashboard, here is a section for users. In this users section here you can see which users are configured and you have the ability to suspend a user. If you want to edit or add users, you need to go to the Organization section, then click on another user section there, which then gives you the ability to edit or add users.

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• Streaming, Real time work load
• Batch processing
• Auto scaling
• flexible pricing

• Works well with curated data
• Allows you to monitor data movements within an organisation
• Advisable to use ILM if already using Informatica PowerCenter

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• More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
• I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
• Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.

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• As we are still piloting the product at our company at this time the feedback is highly limited.

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It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.

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Google Cloud Dataproc Cloud Datafusion

[The] customer support is quite good. Cost also has another point to add, along with process integration and ease of using new tool.

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• cost saving from managing our own data center for ETL servers
• consumption based pricing
• with auto scaling feature, we were able to expand components to support work load

• it is also fully integrated with all other AWS services
• manages the entire life cycle of the Certificates by itself, so it will reduce your work by a really big amount
• it can also be easily integrated with ELB and front-end cloud services.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info