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abelvm.github.io | ||
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my-it-notes.com
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| | | | | My ultimate SQL Memo LLM derive schema from unstructured data and build pyspark ETLs still, understanding what you can do via plain SQL - allow you to choose what to ask and leverage insights from the data much more efficient no magick wand - hard work ?? | |
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korban.net
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36chambers.wordpress.com
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| | | | | This is part seven in a series on window functions in SQL Server. The Road So Far To this point, we've looked at five classes of window function in SQL Server. I've given you a couple of solid use cases, but for the most part, we've focused on what the classes of window functions are.... | |
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jeff.klukas.net
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| | | Originally posted on the Simple engineering blog; also presented at PGConf US 2017 and Ohio LinuxFest 2017 We previously wrote about a pipeline for replicating data from multiple siloed PostgreSQL databases to a data warehouse in Building Analytics at Simple, but we knew that pipeline was only the first step. This post details a rebuilt pipeline that captures a complete history of data-changing operations in near real-time by hooking into PostgreSQL's logical decoding feature. The new pipeline powers not only a higher-fidelity warehouse, but also user-facing features. | ||
