IDC PeerScape: Peer Insights to Build a Data Lakehouse
This IDC PeerScape provides peer insights to build a data lakehouse."For many organizations, the time is now to move on from legacy data warehouses and data lakes. Building a data lakehouse is not without challenges, but organizations that do so will gain an early mover advantage, even as lakehouse technology gains maturity and power. And as organizations focus increasingly on AI, ML, and GenAI for strategic advantage, a data lakehouse will continue to pay dividends into the future as the platform for those initiatives," says Stanley B. Gibson, adjunct research advisor for IDC's IT Executive Programs (IEP).
Please Note: Extended description available upon request.
- IDC PeerScape Figure
- Executive Summary
- Peer Insights
- Practice 1: Assess the Value Delivered by Your Data Warehouse and Data Lake and Establish a Data Lakehouse Strategy
- Challenge
- Examples
- Loomis
- Deluxe
- Georg Fischer
- Guidance
- Practice 2: To Implement a Data Lakehouse, Build a Team, Select Vendors, Choose Partners, and Create a Limited POC
- Challenge
- Examples
- Loomis
- Deluxe
- Georg Fischer
- Guidance
- Practice 3: Establish Project ROI Through Cost Savings, Faster Performance, and Insights That Lead to Business Advantage
- Challenge
- Examples
- Loomis
- Deluxe
- Georg Fischer
- Guidance
- Practice 4: Leveraging User Feedback, Evaluate the Effectiveness of Your Data Lakehouse and Map Next Steps Including AI, ML, and GenAI for Business Advantage
- Challenge
- Examples
- Loomis
- Deluxe
- Georg Fischer
- Guidance
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