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Answer: 1. Create one lake for each domain. Inside each lake, create one zone for each team. 2. Attach each of the BigQuery datasets created by the individual teams as assets to the respective zone. 3. Direct each domain to manage their own lake’s data assets.
The correct answer is C. Each domain (airlines, hotels, and ride-hailing services) should manage its own lake’s data assets to decentralize responsibility and avoid bottlenecks caused by the central data platform team. By creating one lake for each domain and one zone for each team within those lakes, it allows each domain to have control over its data and manage updates efficiently, thus eliminating delays and ensuring data freshness.
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Your company operates in three domains: airlines, hotels, and ride-hailing services. Each domain has two teams: analytics and data science. These teams create data assets in BigQuery, with support from a central data platform team. Due to the rapid evolution of each domain, the central data platform team has become a bottleneck, leading to delays in deriving insights from data and resulting in stale data when pipelines are not maintained. To resolve this issue, you need to design a data mesh architecture using Dataplex. What steps should you take to achieve this?
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