A Modern Datalake is one-half Data Warehouse and one- half Data Lake. It uses object storage in terms of scalability and performance.
An abbreviated version of this post appeared on The New Stack on March 26th, 2024. Businesses aiming to maximize their data assets are adopting scalable, flexible, and unified data storage and analytics approaches. This trend is driven by enterprise architects tasked with crafting infrastructures that align with evolving business demands.
These specifications also provide features that may not exist in a conventional Data Warehouse - for example, snapshots , schema evolution, partitions, partition evolution, and zero-copy branching. But, as stated above, the Modern Datalake is more than just a fancy Data Warehouse - it also contains a Data Lake for unstructured data. The OTFs also provide integration to external data in the Data Lake.
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