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www.onehouse.ai | ||
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www.dquach.com
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streamnative.io
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| | | | | Ursa: Reimagine Apache Kafka for the Cost-Conscious Data Streaming | |
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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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www.onehouse.ai
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| | | Discover how to effectively use Apache Hudi? along with Iceberg and Delta Lake in modern data lakes. This article explores why organizations need multiple table formats, breaks down their unique strengths, and explains how new tools enable seamless integration across formats while maintaining performance and reducing complexity. | ||
