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A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.
In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.
The dashboards, which offer a holistic view together with a variety of cost and BMW Group-related dimensions, were successfully launched in May 2023 and became accessible to users within the BMW Group. The difference lies in when and where datatransformation takes place.
It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce datawarehouse costs by up to 50 percent.
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While enabling organization-wide efficiency, the team also applied these principles to the data architecture, making sure that CLEA itself operates frugally. After evaluating various tools, we built a serverless datatransformation pipeline using Amazon Athena and dbt. The Source stage maintains raw data in its original form.
dbt provides a SQL-first templating engine for repeatable and extensible datatransformations, including a data tests feature, which allows verifying data models and tables against expected rules and conditions using SQL. He joined DeNA in 2023 and was seconded to DeSC Healthcare.
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