What to look for in a data lakehouse solution

A guide for selecting and building a data lakehouse on ADLS


A data lakehouse combines the capabilities of data lakes and data warehouses, providing a single platform for cloud data, kept in a common storage medium across the whole architecture, both for warehousing and machine learning (ML). Data lands in the lakehouse, where users can structure and consume it all in one location.

Here’s what to look for: 

  • Separation of compute and storage 
  • Data federation
  • Connectivity 
  • Query fault tolerance
  • Security and compliance
  • Data Products 
  • Partner Ecosystem 

Download the full guide to learn more about selecting and building a data lakehouse architecture.


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