Explore tweets tagged as #mapreduce
Fun Fact:.ونا بقرأ الpaper لقيت في الريفرينس remzi اللي كان المحاضر في كورس OSTEP علي distributed sorting paper اللي كان اتكلم عنها هناك في الكورس برضو بس مكونتش فاهم هو ايه اللي صعب في السورت يخليه يعمل ورقة بحثية عليه يعني. دة كورس الOS اللي قابلني فيه ال MapReduce لأول مرة.
الـ MapReduce دة من أسوء التوبيكس اللي عدت عليا معرفش ليه. قابلني زمان في كورس الOS و مفهمتوش و قولت هرجعله تاني، قابلني تاني بعدها في DDIA و برضو مفهمتوش، و دلوقتي بيقابلني في كورس ال distributed systems. يانا يالبتاع دة انهاردة.
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تم طبخ الmapreduce علي نار هادئة.
الـ MapReduce دة من أسوء التوبيكس اللي عدت عليا معرفش ليه. قابلني زمان في كورس الOS و مفهمتوش و قولت هرجعله تاني، قابلني تاني بعدها في DDIA و برضو مفهمتوش، و دلوقتي بيقابلني في كورس ال distributed systems. يانا يالبتاع دة انهاردة.
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الـ MapReduce دة من أسوء التوبيكس اللي عدت عليا معرفش ليه. قابلني زمان في كورس الOS و مفهمتوش و قولت هرجعله تاني، قابلني تاني بعدها في DDIA و برضو مفهمتوش، و دلوقتي بيقابلني في كورس ال distributed systems. يانا يالبتاع دة انهاردة.
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Hadoopの構成要素は、.HDFS→分散ファイルシステム.MapReduce→データ並列処理. 【応用編】.Hbase→NoSQLで、HDFSが苦手とするランダムアクセス、リアルタイル処��を可能とする.Apache Mahout→協調フィルタリングなどの機械学習アルゴリズムを提供しMapReduce上で動作.
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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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LLMs are fuzzy microprocessors. for 2 years i've been thinking about this - what if we had fuzzy compilers? fuzzy MapReduce? fuzzy design systems? what if we could program in plain english?. i’ll be exploring here:. models are finally good enough to build.
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Spanner is just one of the big things Jeff has been a co-creator of. MapReduce is one of my personal favorites since I've used it for handling over 100 billion token order data back in 2016. Distributed training is just one application of map reduce if you think about it.
Great to see Spanner recognized with this year's ACM SIGMOD Systems Award "for reimagining relational data management to enable serializability with external consistency at global scale". I was fortunate to be able to work on the first versions of Spanner with awesome colleagues.
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Data driven biology is a playground for curious engineers. Probably the next frontier for systems software / cloud infra. Substrate for next wave of foundational contributions to computing (a la MapReduce + BigQuery). Hiring one engineer to join our team of 5. You will learn
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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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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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Infrastructure for Multi-Agent Systems.@koomen . Multi-agent systems are powerful but hard to build. Think agentic MapReduce with thousands of subagents running in parallel. We're looking for folks who've felt the pain of scaling these systems and want to make operating fleets of
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🚨 How Does Google Actually Rank Websites?.Here are 5 SEO Fundamentals that NEVER change — straight from the work of Google legend Jeffrey Dean 👇. 🧠 Jeffrey Dean isn’t just another Googler. He’s behind:.• MapReduce (→ vector search roots).• BigTable (→ structured data &
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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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Big Data has evolved dramatically over the last decade here’s how it transformed the industry:. 🔹 2012: The early days Hadoop & MapReduce ruled. Processing was batch-heavy, slow, and complex. 🔹 2015–2018: The rise of Apache Spark & Storm enabled real-time data processing.
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좀 곁다리 얘기지만 구글이 MapReduce를 오픈소스 하지 않은걸 나중에 굉장히 후회했다고 들었다. 오픈소스가 Yahoo의 Hadoop 중심으로 형성되면서, 오픈소스의 덕을 보기는 커녕 클라우드 사업을 위해 Hadoop 생태계와의 호환성을 구현해야 하는 비용까지 발생해버려서. .
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理論から入るのではなく, MapReduce, Google Filesystem, Raft, Zookeeper, Spanner, Amazon DynamoDB, Memcached, Ray, Bitcoin等の論文を通して、それぞれどのように分散システムの課題を解決しているかを学べるようになってる感じ。実用的なシラバスぽくてめっちゃ良さそう。(中身見てないけど).
MITより。分散システムの講義。. 大学に行かなくても学べるのはありがたい。.
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I've been reading the MapReduce paper by Google. The language in it is so simple and concise, you can tell it was written by someone working in the industry, and not a pure academic.
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In 2011, Google built a SQL Engine on top of MapReduce, which ran over 10,000 queries across 1.5 PB of data and powered Google Ads. This weekend, I am reading a 2011 paper from Google titled Tenzing which is a SQL engine built on top of MapReduce. This paper laid the.
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