There’s an interesting post that was written about the two sides of a data architect discussion: Data Lakehouse vs Snowflake as a data platform.
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So how do we make sense of these competing patterns? Why is there such a big disparity between two approaches, and is there really such a major decision needed between open (spark/delta) v proprietary code (snowflake/relational) bases and repositories ? I believe that if you drill into the headline propositions, the reality is that any architecture isn’t an “either/or” but a “better together” and that a pragmatic approach should be taken.
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- The Data Lakehouse, the Data Warehouse and a Modern Data platform architecture
https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/the-data-lakehouse-the-data-warehouse-and-a-modern-data-platform/ba-p/2792337
kurtsh
Kurt Shintaku's Blog 