Explore tweets tagged as #Mapreduce
Day 20 of #90DaysOfDataEngineering.- Learned HDFS SpaceQuota and SetQuota in a real-world scenario. - Studied MapReduce. - Solved two Swiggy SQL problems. #LearnInPublic #BuildInPublic #90DaysOfDataEngineering #Data #SQL
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And Omni is more than just an app builder. It can also answer any business question about your data using advanced reasoning, and do LLM mapreduce across large datasets to understand patterns and trends:. → "What are the biggest customer pain points across 10K support tickets?"
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19 white papers you must read as a software engineer (all free): . 1. MapReduce.2. TAO.3. Bitcoin.4. Google File System.5. BigTable.6. CAP Theorem.7. Kafka
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The Electronics & ICT Academy at @cdacindia Hyderabad, supported by @GoI_MeitY, hosted a 5-day FDP on Big Data Analytics (June 23–27, 2025)!. 40 hours of expert sessions on:.📊 Big Data Fundamentals & DBMS.🐘 Hadoop Ecosystem (HDFS, MapReduce, Hive).🐍 Data Analytics with Python
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Announcing @gensynai as the presenting sponsor of Season 2 of THE PEOPLE’S AI podcast. We kick things off with Gensyn co-founders @fenbielding & @_grieve on why vertical scaling is hitting its limits, & why AI is on the brink of its MapReduce moment. 🎧
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Bitdeer AI is proud to support the research behind Multiverse, recently ranked top #5 by @huggingface Daily Papers, led by one of the authors @Xinyu2ML. This innovative generative model introduces native parallel generation using an internal MapReduce-like framework. The research
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🚀 Introducing #SurveyGO — our research companion that can turn massive paper piles into high-quality, concise, citation-rich surveys. 👍 Under the hood lies LLM×MapReduce‑V2, a novel test-time scaling strategy designed to enhance LLMs' ability to process extremely long
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「 Parallel Reasoning, LLM」. Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation. Multiverse：让模型自己决定“何时拆分、如何并行、何时合并”，把经典 MapReduce 范式内化到生成过程中。. “在无限的多元宇宙中，每一种可能，终将在某个世界发生。”. “ In
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What did I study in school that prepared me for crypto?. Distributed Systems . I did these courses during my MSc. I used to run Hadoop nodes on GPUs to create a distributed network so that lots of data can be processed in parallel (like MapReduce). Lots of similar concepts
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New chapter day📖. Batch processing and MapReduce!? Hello old friends 👋 . #data #dataengineering
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What is MapReduce?. MapReduce is a programming model and software framework for processing large datasets in parallel across a cluster of computers. It simplifies the task of writing parallel, distributed programs. How does it work?. 1) Map Phase:. The input data is divided
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Today's read!📖. Continuing warm hugs from the old friend. We talked all the things MapReduce has been over the years.I said "you dealt with a lot of complications given to you and processed them separately. But you dumped a lot of it while going through it" So, we good 👍 .#data
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Met Jeff Dean at AGI House this weekend. The most interesting thing about him isn't his title (Google's Chief Scientist). It's his timing:. • At 14: Built epidemiology tools . • At Google (#20 employee): Built MapReduce when "big data" wasn't a thing.(Became foundation for
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Join Yahya Safi, ICT Competition 2024–2025 Finalist and ICT Academy Ambassador, for the third Big Data webinar of the Huawei Summer Tech Camp 2025. 📅 July 16th – 8:00 PM.💡 Topic: Big Data Processing Engines : From MapReduce to Spark and Flink.Explore the evolution of big data
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Yacine talked about MapReduce for having a high impact over distributed cores. Very interesting stuff for how to use agentic AIs in upcoming months
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Day 5 of Yapping about @cysic_xyz. CYSIC isn’t just scaling zk-proofs, it’s reimagining them. The magic is in orchestration: split up the proving job, send each piece to the best node for the task, and let the protocol handle the workflow. It’s like zk MapReduce but way more
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Generating long articles from vast resources challenges LLMs; they struggle to integrate all relevant information effectively. LLM×MapReduce-V2 proposes an integrative method using stacked convolutional scaling layers, inspired by Convolutional Neural Networks. This helps LLMs
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如何讓語言模型學會 MapReduce？！🤖. 為什麼ChatGPT在回答問題時，總是一個字一個字地輸出，而不能同時思考多個問題？🤔
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