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Overview of DataOps Dataflow & Data Pipeline

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By using #ApacheSpark as the engine, DataOps dataflow is capable of processing and comparing billions of records in parallel. Common use cases are #testing #automation of #DataMigration, #DataWarehouses, and #DataLakes. It supports #AWSEMR and #Azure Databricks as the engines.
@datagaps
@datagaps