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www.onehouse.ai | ||
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jack-vanlightly.com
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| | | | | In the previous post, I covered append-only tables, a common table type in analytics used often for ingesting data into a data lake or modeling streams between stream processor jobs. I had promised to cover native support for changelog streams, aka change data capture (CDC), but before I do so, I think we should first look at how the table formats support the ingestion of data with row-level operations (insert, update, delete) rather than query-level operations that are commonly used in SQL batch commands. | |
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delta.io
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| | | | | Delta Lake Universal Format (UniForm) enables Delta tables to be read by any engine that supports Delta, Iceberg, and now, through code contributed by Apache XTable, Hudi. | |
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rmoff.net
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| | | | | [AI summary] This article discusses the evolution of data engineering in 2022, focusing on storage and access methods for analytical data, including the transition from traditional data warehouses to modern data lakehouses and open formats. | |
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kubpoint.com
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| | | As discussed in my blog and book "Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh" | ||
