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dennyglee.com
| | www.getorchestra.io
12.8 parsecs away

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| | Discover how Data Engineers are using Apache Iceberg in Snowflake to replace External Tables, thereby truly deocupling compute and storage. Find out more.
| | mertkavi.com
11.6 parsecs away

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| | The article discusses the challenges faced by scalable data teams in managing and processing large amounts of data and proposes a system that includes separating storage, compute, and metadata, using distributed file systems and columnar data formats, real-time data ingestion with CDC tools, and efficient querying through composable components and a joint query/compute engine.
| | jack-vanlightly.com
13.7 parsecs away

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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.
| | www.kai-waehner.de
85.4 parsecs away

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| Blog about architectures, best practices and use cases for data streaming, analytics, hybrid cloud infrastructure, internet of things, crypto, and more