#mapreduce 搜尋結果

Map-Reduce is making a surprising comeback in the #LLM and prompt engineering scene, improving prompt optimization for better results. It was seen last time in big data and distributed processing ;-) picture by @DeepLearningAI_ #MapReduce #PromptEngineering #LanguageModels #AI

mrjazdzyk's tweet image. Map-Reduce is making a surprising comeback in the #LLM and prompt engineering scene, improving prompt optimization for better results.

It was seen last time in big data and distributed processing ;-)
picture by @DeepLearningAI_
#MapReduce #PromptEngineering #LanguageModels #AI

Map reduce data processing model helps in processing large datasets in a distributed environment and achieve parallelism. Following illustration, we are trying to count occurrences of each unique word from a set of files. #SystemDesign #mapreduce #sde

OmkarShetkar's tweet image. Map reduce data processing model helps in processing large datasets in a distributed environment and achieve parallelism.
Following illustration, we are trying to count occurrences of each unique word from a set of files.

#SystemDesign #mapreduce #sde

💡Prepare for your Apache Hadoop & MapReduce Interviews Get ready with top Q&A and boost your chances of cracking Big Data roles 🚀 👉 Start here: buff.ly/zvZjsGh #ApacheHadoop #MapReduce #BigData #DataScience #MachineLearning #Analytics #AI #DataEngineer #InterviewPrep

bigdata_engnr's tweet image. 💡Prepare for your Apache Hadoop & MapReduce Interviews
Get ready with top Q&A and boost your chances of cracking Big Data roles 🚀

👉 Start here: buff.ly/zvZjsGh

#ApacheHadoop #MapReduce #BigData #DataScience #MachineLearning #Analytics #AI #DataEngineer #InterviewPrep

✨ RavenDB Map-Reduce Index ✨ Organizes and aggregates heterogenous data incrementally whenever data changes. It can also run various other computations asynchronously so that frequent queries don't have to. #RavenDB #MapReduce #Indexing

RavenDB's tweet image. ✨ RavenDB  Map-Reduce Index ✨  
Organizes and aggregates heterogenous data incrementally whenever data changes. It can also run various other computations asynchronously so that frequent queries don't have to. 

#RavenDB #MapReduce #Indexing

“here was a system that nobody wanted that Google had abandoned, but enterprises had spent large amounts of money building out clusters to do a #MapReduce / #Hadoop market that didn't exist.” Andy Palmer & Mike Stonebraker! podcasts.apple.com/gb/podcast/the…

rifkiamil's tweet image. “here was a system that nobody wanted that Google had abandoned, but enterprises had spent large amounts of money building out clusters to do a #MapReduce / #Hadoop market that didn't exist.” Andy Palmer & Mike Stonebraker! podcasts.apple.com/gb/podcast/the…

En el contexto de la ingeniería de datos analizamos #MapReduce, el modelo de procesamiento paralelo para grandes colecciones de datos. #DiplomadoIoT #IoT #BigData

pcarranza's tweet image. En el contexto de la ingeniería de datos analizamos #MapReduce, el modelo de procesamiento paralelo para grandes colecciones de datos.

#DiplomadoIoT #IoT #BigData

Optimize your MapReduce job by combining small files, tuning the cluster, using combiners, compressing data, and profiling jobs to fix bottlenecks. #MapReduce #BigData #DataProcessing #Hadoop #DataOptimization #SoftwareEngineering #TechTips #DataAnalysis #DataScience

_paschalugwu's tweet image. Optimize your MapReduce job by combining small files, tuning the cluster, using combiners, compressing data, and profiling jobs to fix bottlenecks. 

#MapReduce #BigData #DataProcessing #Hadoop #DataOptimization #SoftwareEngineering #TechTips #DataAnalysis #DataScience

My latest certificate received this past Fri through IBM #ibm #mapreduce #yarn #computerscience

JakeBrono46's tweet image. My latest certificate received this past Fri through IBM

#ibm #mapreduce #yarn #computerscience

Dive into the fundamentals of map-reduce operations, crucial in both functional programming and big data. Uncover their inner workings, practical applications, and their transformative impact on data processing. bitly.ws/35y8y #Java #MapReduce #DataProcessing

RafaDelNero's tweet image. Dive into the fundamentals of map-reduce operations, crucial in both functional programming and big data. Uncover their inner workings, practical applications, and their transformative impact on data processing.

bitly.ws/35y8y

#Java #MapReduce #DataProcessing

Hoy fue sábado de Diplomado y el cuerpo lo sabe 👌✨🥰 #BigData #MapReduce #process

Nay_O_Av's tweet image. Hoy fue sábado de Diplomado y el cuerpo lo sabe 👌✨🥰
#BigData #MapReduce #process
Nay_O_Av's tweet image. Hoy fue sábado de Diplomado y el cuerpo lo sabe 👌✨🥰
#BigData #MapReduce #process

Can you leverage #mapreduce, #spark, Spark Stream, Storm, or #tez to transform and mask data in HDFS files without programming? Check out the #hadoop options in #IRI_Voracity:

IRI_CoSort's tweet image. Can you leverage #mapreduce, #spark, Spark Stream, Storm, or #tez to transform and mask data in HDFS files without programming? Check out the #hadoop options in #IRI_Voracity:

Putting the computation near the data. #MapReduce


How to make the best decisions for systems based on #MapReduce for current #BigData needs? Can one reliably predict the execution time of a given job? Read more in a research paper published in #SCPE, Vol. 22, No. 4, (ISSN 1895-1767): tinyurl.com/2p9ywb8v

ScalableAnd's tweet image. How to make the best decisions for systems based on #MapReduce for current #BigData needs? Can one reliably predict the execution time of a given job?
Read more in a research paper published in #SCPE, Vol. 22, No. 4, (ISSN 1895-1767): tinyurl.com/2p9ywb8v

Underdstand the fundamentals of map-reduce operations, crucial in both functional programming and big data. Uncover their inner workings, practical applications, and their transformative impact on data processing. 🔗 bit.ly/4byKXWC #Java #MapReduce #DataProcessing

RafaDelNero's tweet image. Underdstand the fundamentals of map-reduce operations, crucial in both functional programming and big data. Uncover their inner workings, practical applications, and their transformative impact on data processing.

🔗 bit.ly/4byKXWC

#Java #MapReduce #DataProcessing

YTsaurus is a distributed storage and processing platform for #BigData with support for #MapReduce model, a distributed file system and a #NoSQL key-value #database.

brendantierney's tweet image. YTsaurus is a distributed storage and processing platform for #BigData with support for #MapReduce model, a distributed file system and a #NoSQL key-value #database.

Hello! Would you like a panda show? I wait for you!🎩 opensea.io/assets/ethereu… #Spark #MapReduce

teni51862089's tweet image. Hello! Would you like a panda show? I wait for you!🎩

opensea.io/assets/ethereu…

#Spark
#MapReduce

Stop relying on messy spreadsheets for Canadian tech company info. Mapletech is here to save the day. #TechInvesting #DataDriven TechInvesting DataDriven bit.ly/3KPHZEw


Managing your custom data on Mapbox just got a whole lot easier. Join us for a live demo of the new Data Workbench, a tool that lets you drag and drop your data, preview it instantly, and edit it directly in your table or on the map — no extra tools needed. 📅 Thursday, Dec 11…

Mapbox's tweet image. Managing your custom data on Mapbox just got a whole lot easier.

Join us for a live demo of the new Data Workbench, a tool that lets you drag and drop your data, preview it instantly, and edit it directly in your table or on the map — no extra tools needed.

📅 Thursday, Dec 11…

Introduction to Apache Hadoop for big data processing in Java In this article, we'll provide an overview of Apache Hadoop and demonstrate how to perform basic data processing tasks using Java MapReduce. #java #hadoop #mapreduce blackslate.io/articles/intro…


{prompt} matrix multiply-accumulate (MMA) operations for neural network training seed #703308

0xsecondsample's tweet image. {prompt}

matrix multiply-accumulate (MMA) operations for neural network training

seed #703308

#30DayMapChallenge Day 17 — A new tool Designers, meet mapping in @figma Make — you can now make prototypes with live Mapbox maps directly inside your designs. Bring real data, style, and movement to your prototypes without a single line of code. Visit the community page to…


We’ve published a new article on generating MVT directly in the browser with DuckDB-WASM and rendering them in MapLibre GL JS! 💻🗺️ ✅ No preprocessing or tile server ✅ PBF via ST_AsMVT / ST_AsMVTGeom ✅ On-demand tiles with a custom protocol Read more👇 reearth.engineering/posts/duckdb-w…


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#DX検定【MapReduce】マップリデュースは、Googleにより導入されたプログラミングモデル。コンピュータ機器のクラスター上での巨大なデータセットに対する分散コンピューティングを支援することが目的。


Map reduce is not a real time processing system. If you're including that for real-time, already you are setting yourself up for a nightmare. At times, random errors trigger re-computations making a ton of SLA misses. Hope you're aware of the danger. ATB!


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Map Reduceは、スプシだとGASを書くことになろう。JavaScriptの標準機能。 blankさんの資料の数字を追いかけてみよう。


crazy how every data pipeline is just mapreduce


kind of stupid but no joke this actually helped me get MapReduce. the og paper mentions that it works best over operations that commute and associate, and also insinuates that everything happens with multisets (free commuting monoids)

i still don't know anything about "big data" but basically MapReduce is a pipeline of common parallel operations over free commuting monoids



i still don't know anything about "big data" but basically MapReduce is a pipeline of common parallel operations over free commuting monoids

idk anything about "big data" but basically hadoop is for data and kafka is for codata and that should be enough to get you started



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Batch processing is everywhere. Classic map reduce is a popular approach for working with AI data. Map operation gives you flexibility to run custom code on your data to prepare datasets for training and RL. Cursor team talked a lot about it.


The power of mmap is unlocked with its flags. The two most important are: - MAP_PRIVATE: Creates a private, copy-on-write mapping. Your changes are NOT written back to the file and are not visible to other processes. Perfect for safe, read-only access. - MAP_SHARED: All your…


#30DayMapChallenge Day 13 — 10 minute map Forget 10 minutes — how about a map in 10 seconds? ⏱️ We’ve just released a new developer tool to help you get your web map running quickly. Run npm create @mapbox/web-app from your terminal, pick your desired framework, and get a live…


Despite remarkable progress, achieving real-time and high-quality MAPF remains a major challenge. This work introduces local guidance, a strategy to alleviate local congestion via informative spatiotemporal cues💡 constructed by a lightweight heuristic search

_kei18's tweet image. Despite remarkable progress, achieving real-time and high-quality MAPF remains a major challenge. This work introduces local guidance, a strategy to alleviate local congestion via informative spatiotemporal cues💡 constructed by a lightweight heuristic search

OK this is very cool and whilst I say relatively easy (I know reality is more complex with #MapReduce and @cosmosdb, #Jupyte and #Spark for @NASCAR. Lets do this for @F1 - #racing and #AI #MSBuild Congrats @dharmashukla @RohanKData @aram09

bahree's tweet image. OK this is very cool and whilst I say relatively easy (I know reality is more complex with #MapReduce and @cosmosdb, #Jupyte and #Spark for @NASCAR. Lets do this for @F1 - #racing and #AI #MSBuild Congrats @dharmashukla @RohanKData @aram09
bahree's tweet image. OK this is very cool and whilst I say relatively easy (I know reality is more complex with #MapReduce and @cosmosdb, #Jupyte and #Spark for @NASCAR. Lets do this for @F1 - #racing and #AI #MSBuild Congrats @dharmashukla @RohanKData @aram09
bahree's tweet image. OK this is very cool and whilst I say relatively easy (I know reality is more complex with #MapReduce and @cosmosdb, #Jupyte and #Spark for @NASCAR. Lets do this for @F1 - #racing and #AI #MSBuild Congrats @dharmashukla @RohanKData @aram09
bahree's tweet image. OK this is very cool and whilst I say relatively easy (I know reality is more complex with #MapReduce and @cosmosdb, #Jupyte and #Spark for @NASCAR. Lets do this for @F1 - #racing and #AI #MSBuild Congrats @dharmashukla @RohanKData @aram09

Data-Intensive Text Processing with MapReduce:本书专注于 MapReduce 算法设计,强调在自然语言处理、信息检索、以及机器学习中的文本处理算法。此外,该书还介绍了 MapReduce 设计模式,帮助读者形成 MapReduce 思维。(booksea.app/archives/data-…) #mapreduce #freebook

linuxtoy's tweet image. Data-Intensive Text Processing with MapReduce:本书专注于 MapReduce 算法设计,强调在自然语言处理、信息检索、以及机器学习中的文本处理算法。此外,该书还介绍了 MapReduce 设计模式,帮助读者形成 MapReduce 思维。(booksea.app/archives/data-…) #mapreduce #freebook

Finding it hard to determine which fs command I should use via CLI on our #Hadoop cluster... hadoop fs or hdfs dfs? Is either deprecated? Which is better to future proof? Any answers Twitter? #HDFS #MapReduce @hortonworks @nixcraft @ComputingITC @lintool @StackOverflow #HelpPls

gleesonmick's tweet image. Finding it hard to determine which fs command I should use via CLI on our #Hadoop cluster... hadoop fs or hdfs dfs? Is either deprecated? Which is better to future proof? Any answers Twitter? #HDFS #MapReduce @hortonworks @nixcraft @ComputingITC @lintool @StackOverflow #HelpPls

I did a talk at @WeAreAmido last week on #serverless #mapreduce where we attempted (AFAIK) a world first - creating a working map reduce cluster with all the mobile devices in the room - and it worked!!

cjrpriest's tweet image. I did a talk at @WeAreAmido last week on #serverless #mapreduce where we attempted (AFAIK) a world first - creating a working map reduce cluster with all the mobile devices in the room - and it worked!!

Apache Hadoop: HDFS, YARN, MapReduce Apache Hive: Büyük Veri Ambarı Çözümü Apache Sqoop ile Hadoop ve İlişkisel Veri Tabanları Arasında Veri Transferi Apache Kafka: Gerçek Zamanlı Veri İşleme Platformu #apache #kafka #mapreduce #python #hive #hdfs #yarn #hadoop #sqoop #data

devgru023's tweet image. Apache Hadoop: HDFS, YARN, MapReduce
Apache Hive: Büyük Veri Ambarı Çözümü
Apache Sqoop ile Hadoop ve İlişkisel Veri Tabanları Arasında Veri Transferi
Apache Kafka: Gerçek Zamanlı Veri İşleme Platformu
#apache #kafka #mapreduce #python #hive #hdfs #yarn #hadoop #sqoop #data

Here's everything you need to know about #MapReduce with #Hadoop for simplified analysis of #BigData. bit.ly/2MU3m5S

AFourTech's tweet image. Here's everything you need to know about #MapReduce with #Hadoop for simplified analysis of #BigData.

bit.ly/2MU3m5S

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