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Scalable data pipelines: Seasoned data teams are facing increasing pressure to respond to a growing number of data requests from downstream consumers, which is compounded by the drive for users to have higher data literacy and skills shortage of experienced dataengineers.
DataOps sprung up to connect data sources to data consumers. The datawarehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Data mesh says architectures should be decentralized because there are inherent problems with centralized architectures.
Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. This is often called CURATED, or REPORT, or even DATAWAREHOUSE.
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