Logical data fabric for building a unified data warehouse and data lake
summary
TDWI finds 64% of orgs name unified warehouse and lake as a business objective and 84% call a unified approach important based on a 150‑respondent survey. Denodo demonstrates a logical data fabric built with data virtualization, active metadata, a six‑pillar stack and support for ETL and APIs to avoid replication. Autodesk moves most data to AWS, stitches multiple warehouses and lakes through the fabric, delivers unified views and self‑service analytics, and the platform offers 30‑day free trials.
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chapters (18)
- 0:00Introduction
- 1:10Agenda
- 2:15History
- 5:37Data lakes
- 8:29Why
- 11:14Data lake
- 12:04Consolidation
- 12:49Data disciplines
- 15:05Data fabric
- 16:58Logical vs physical data fabric
- 17:47Components of a logical data fabric
- 20:49Data warehouse under data lake
- 21:30Multilocation architecture
- 22:46Autodesk
- 23:54Architecture
- 25:01Key takeaways
- 25:27Questions and answers
- 25:53Free trials
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