52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY

Highlights from this week’s conversation include:

• James’ background at Microsoft and current work with EY’s data fabric (2:22)
• The external and internal facing components of EY’s data fabric (6:39)
• The importance of the data lineage (11:29)
• The most important requirements for data quality (15:32)
• Looking at the data capabilities of Microsoft (21:30)
• The data warehouse, explained (29:00)
• Using a data warehouse or a data lake (34:33)
• Defining the buzzword data mesh (51:13)
• The problem with data mesh (59:31)

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