IBM Data Replication vs. Oracle Warehouse Builder

IBM InfoSphere Data Replication replication allows work on the daily operation and analyzes the replicated data in real-time with no downgrade of performance. This happens thanks to the incremental data load using the log files instead of querying the database for any changes. It serves as an online backup of the database uploading the data to the cloud in real-time.

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The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.

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• Performance to detect changes using Incremental Data Delivery with logs.
• Update data in the cloud in real time.
• Saves data in clusters using Apache Hadoop

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• Easy transformation.
• Easy implementation from Oracle to Oracle systems.
• Ease of usage and easy to learn.
• Starting component of metadata management.

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• Better documentation and examples of Console and API.
• Integration with machine learning to analyze the data.
• Examples of how to replicate data from multiple sources and databases to one data lake.

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• What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
• Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.

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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

Ab>initio, IBM Datastage 8.0

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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

• Analize the daily data in real time using data lakes and Machine Learning.
• Performance of the replication without affecting the relational database of the applications.
• Use of Apache Hadoop for data clustering improving performance.

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Independently Invited by TrustRadius

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

• It improved understanding of ETL functions. Data is consistent. The speed is pretty good.

Incentivized

Independently Invited by TrustRadius

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