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Data analysis, reporting & performance measurement
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File: 1778188780254.jpg (130.61 KB, 1080x810, img_1778188771420_bhotp0ue.jpg)ImgOps Exif Google Yandex

45973 No.1583

i found this interesting - raw files on object storage are cheap to retain but not great for a system of record google analytics added transactional tables and versioned metadata in lmao?

more here: https://hackernoon.com/the-architectural-limits-of-data-lakes-and-the-rise-of-lakehouses?source=rss

45973 No.1584

File: 1778188884687.jpg (127.93 KB, 1280x714, img_1778188868737_17u6wgam.jpg)ImgOps Exif Google Yandex

data lakes are great for storing vast amounts of raw data but can be challenging when it comes to querying and analyzing that data efficiently, while lakehouses offer a balance by integrating processing capabilities directly w/ storage leading to more streamlined analytics workflows. so the trade-off lies in how you prioritize ease-of-use over scalability or vice versa [1(



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