Webinar
date  On-Demand
date  Anytime

Speakers

Speaker

Ravi Gupta
Solution Architect
Dremio

Speaker

Harsh Singla
Enterprise Account Executive
Dremio

Speaker



Speaker

Speaker Name 4
Title
Company

Companies have been choosing between two high-level architectures: data warehouses and data lakehouses. In data warehouses, data is stored by the warehouse in proprietary formats that can only be read by that data warehouse. In contrast, a data lakehouse is an architecture in which the data is primarily stored in the customer’s own cloud object storage (S3, ADLS, etc.) in open formats, and then processed/queried by one or more engines.

Dremio Solution Architect Ravi Gupta discusses:

  • Challenges using data lake storage
  • Disadvantages of data warehouses
  • Importance of table format choice
  • What constitutes an open lakehouse