Cloudera Blog
Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, […] Read blog post
Why Hadoop Is the Future of the Database
On Monday, Greenplum -- now owned by tech giant EMC -- revealed that it has spent the last two years building a new Hadoop platform that it believes will leave the traditional database behind. Known as Pivotal HD, this tool can store the massive amounts of information Hadoop was created for store, but it's designed to ask questions of this data significantly faster than you cam with the existing o
Analytical Queries with Hive: SQL Windowing and Table Functions
Analytical Queries with Hive: SQL Windowing and Table Functions Hive Query Language (HQL) is excellent for productivity and enables reuse of SQL skills, but falls short in advanced analytic queries. Hive`s Map & Reduce scripts mechanism lacks the simplicity of SQL and specifying new analysis is cumbersome. We developed SQLWindowing for Hive(SQW) to overcome these issues. SQW introduces both Window
来年のHadoop - 急がば回れ、選ぶなら近道
Hadoopアドベント・カレンダーの多分最終日のはず。 せっかくなんで、来年の予想でもしてみようかと。 日本の話です。世界のことはよくわかりません。本当のことは、日本には伝わらない（表向きの話はともかく、現状ではVCあたりの外野の方が発言力があると思うし、向こうでも、その辺の正確な情報は伝播してる気がしません）と思うので。とはいえ、日本のHadoopマーケットは、それなりわかっている（というか、わかっていないとまずい）感じみたいなので・・・勝手に、来年のHadoopとか予想します。外れたら焼き肉おごります。 1 大量データ処理でのデファクト化 ・いわゆるWeb系ではつかっていないところは一社もなくなる 特にレコメンデーションエンジンあたりは、もう普通に実装して使う。ただし、それ以上のものは出ない。集計処理と推論をうまく利用したレコメンデーションエンジン（とその亜流）、従来からのフィルタリン
テキストマイニングで始める実践Hadoop活用
Hadoopとは何かを解説し、実際にHadoopを使って、大規模データを対象にしたテキストマイニングを行います。テキストマイニングを行うサンプルプログラムの作成を通じて、Hadoopの使い方や、どのように活用できるのかを解説します いまさら聞けないHadoopとテキストマイニング入門 テキストマイニングで始める実践Hadoop活用（1） それぞれの概要や構成、MapReduceの仕組み、Hadoopの活用場面などを解説し、Hadoopの実行環境を構築します
The Next Generation of Apache Hadoop MapReduce · Yahoo! Hadoop Blog
Overview In the Big Data business running fewer larger clusters is cheaper than running more small clusters. Larger clusters also process larger data sets and support more jobs and users. The Apache Hadoop MapReduce framework has hit a scalability limit around 4,000 machines. We are developing the next generation of Apache Hadoop MapReduce that factors the framework into a generic resource schedu
Why MapR Is Right to Give Back to Apache Hadoop – Old GigaOm
Big data startup MapR is now an official corporate contributor to the Apache Hadoop project, a somewhat interesting turn of affairs given its corporate mission to lure users away from Apache’s Hadoop Distributed File System. Although this might seem like an odd partnership — even more so now after EMC (s emc) announced MapR as the storage foundation for its Apache Hadoop alternative — it demonstra
Hadoop Tutorial - YDN
Introduction In Module 4 you learned the basics of programming with Hadoop MapReduce. That module explains how data moves through a general MapReduce architecture, and what particular methods and classes facilitate the use of the Hadoop for processing. In this module we will look more closely at how to override Hadoop's functionality in various ways. These techniques allow you to customize Hadoop
Hadoop and MapReduce: Big Data Analytics
Bottom Line: Big data analytics and the Apache Hadoop open source project are rapidly emerging as the preferred solution to business and technology trends that are disrupting the traditional data management and processing landscape. Even though big data analytics can be technically challenging, enterprises should not delay implementation. As the Hadoop projects mature and business intelligence (BI
Mapreduce & Hadoop Algorithms in Academic Papers (3rd update) | atbrox
Mapreduce & Hadoop Algorithms in Academic Papers (3rd update) Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and research. Contact us if you need help with algorithms for mapreduce This posting is the May 2010 update to the similar posting from February 2010, with 30 new papers compared to the prior posting, new ones
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Cloudera Blog
Demonstrating the High-Performance Future of Hadoop at Strata | Datastream
how Hadoop can disrupt the database industry
What's New and Upcoming in HDFS - the Hadoop Distributed File System
Facebook-class social network analysis with R and Hadoop
EMC Elbows Its Way Into Apache Hadoop With Greenplum HD Appliance - Wikibon
agilecatcloud.com
Simulating Secondary Sort on Values with Hadoop
Hadoop使用的细节（转自淘宝数据平台团队） - Hadoop-锋云网