{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"Why Speed Matters: How Performance in Analytics Saves Business from \"Digital Paralysis\"","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1c7849e9\"></iframe>","width":"100%","height":180,"duration":1106,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/why-speed-matters-how-performance-in-analytics-saves-business-from-digital-paralysis.\nLower compute costs and the evolution of data processing tools have radically changed the approach to analytics.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #big-data-analytics, #data-analytics, #data-science, #data-analysis, #low-code-data-scientist, #ai-for-data-science, #ai-data, #good-company,  and more.\nThis story was written by: @megaladata. Learn more about this writer by checking @megaladata's about page,\n            and for more stories, please visit hackernoon.com.\nMost low-code data analytics tools trade performance for convenience: they break down past a few hundred million rows. Megaladata takes a different approach: a proprietary compute core, in-memory execution, SIMD-level optimizations, and a custom memory manager deliver fast data processing without the cost of big data infrastructure. Real results: a streaming pipeline cut from 20 to 4 minutes, and 400M+ rows processed in 8 minutes on a laptop.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}