A Complete Guide to Writing Hive UDF
Note that this guide is quite old (it was written when Hive was at version 0.10) and might not apply as-is to recent Hive releases. Use at your own risk :) Dataiku DSS provides deep integration with Hive (Execution engine for visual transformations, HiveQL notebook, autocompletion, syntax checking, schema validation, ...) At Dataiku, when we need to build complex data processing pipelines or analy
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Cloning into 'cookiecutter-django'... remote: Counting objects: 550, done. remote: Compressing objects: 100% (310/310), done. remote: Total 550 (delta 283), reused 479 (delta 222) Receiving objects: 100% (550/550), 127.66 KiB | 58 KiB/s, done. Resolving deltas: 100% (283/283), done. project_name [Project Name]: Reddit Clone project_slug [reddit_clone]: reddit author_name [Daniel Roy Greenfeld]: Da
Python: Cookiecutter ã§ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ãƒ†ãƒ³ãƒ—レートを作る - CUBE SUGAR CONTAINER
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JavaScript engines: The Good Partsâ„¢ by Mathias Bynens
JavaScript has been among the most influential technologies for almost a decade now. A lot of this is due to the sophisticated JavaScript engines in modern browsers, Node.js, and Electron. This talk explores important ingredients of these modern JavaScript engines, and focuses on the fundamental features that V8, Chakra, SpiderMonkey, and JavaScriptCore all have in common. Joint talk by @bmeurer a
JavaScript engines: The Good Partsâ„¢ by Mathias Bynens
JavaScript has been among the most influential technologies for almost a decade now. A lot of this is due to the sophisticated JavaScript engines in modern browsers, Node.js, and Electron. This talk explores important ingredients of these modern JavaScript engines, and focuses on the fundamental features that V8, Chakra, SpiderMonkey, and JavaScriptCore all have in common. Joint talk by @bmeurer a
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How Instacart implemented HyperLogLog in Redshift and Tableau to calculate distinct counts 50 times faster
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