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Hidden Complexities of Distributed SQL

Hidden Complexities of Distributed SQL

Distributed SQL engines shine when it comes to wrangling scattered data. Their secret weapons? Push-down filters and TopN tricks that slash data transfer and shrink processing time. They deftly juggle complex queries from multiple sources, without the whole data mess piling up. Even the humdinger of operations, like distinct counts, doesn't faze themβ€”they optimize like pros.


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The FAUN

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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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