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- The data lakehouse architecture combines the key benefits of data lakes and data warehouses12. It offers low-cost storage in an open format accessible by a variety of processing engines like Spark1. This architecture enables organizations to extract data in real-time regardless of which cloud or datastore the data resides in and use it in aggregate for greater insight and artificial intelligence (AI), with governance and unified access across teams3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.To address some of these issues,a new architecture choice has emerged: the data lakehouse, which combines key benefits of data lakes and data warehouses. This architecture offers low-cost storage in an open format accessible by a variety of processing engines like Spark while also providing powerful management and optimization features.cloud.google.com/blog/products/data-analytics/ope…The data lakehouse combines the key benefits of data lakes and data warehouses. This architecture ofers a low-cost storage format that is accessible by various processing engines like Spark while also providing powerful management and optimization features.services.google.com/fh/files/misc/building-a-data-la…However, in a nutshell, this end-to-end architecture enables organizations to extract data in real-time regardless of which cloud or datastore the data resides in and use it in aggregate for greater insight and artificial intelligence (AI), with governance and unified access across teams.cloud.google.com/blog/products/data-analytics/und…
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Architect your data lake on Google Cloud with Data Fusion and …
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