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Data Architecture Approach

A company in the hydraulic sector is faced with a growing mass of data dispersed between on-premises infrastructures and emerging cloud solutions.

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Jean Michel C.

Head 0f Data at Google

APAC Technology Practice Lead, Data Analytics and AI @ Google

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In-Depth Case Study: Data Management in Hydraulic Equipment Industry

1. **Problem:** Optimization of data management between traditional and cloud infrastructures in the hydraulic sector.
2. **Strategy:** Adoption of a Lake House architecture to balance flexibility and performance.
3. **Challenges:** Overcome by limiting overcollection and balancing IT governance and business needs.
4. **Actions:** Implementation of lightweight data governance and a Data Mesh approach for data accessibility.
5. **Results:** Improved decision-making and cost optimization through better data management.

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Data Architecture Approach

A company in the hydraulic sector is faced with a growing mass of data dispersed between on-premises infrastructures and emerging cloud solutions.

Image for undefined

Jean Michel C.

Head 0f Data at Google

Plan a projectSee more details
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