Hadoop最新情報 - YARN, Omni, Drill, Impala, Shark, Vertica - MapR CTO Meetup 2014...MapR Technologies Japan
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Speaker: Gabriel Schenker, Lead Curriculum Developer, Confluent Streaming platforms have emerged as a popular, new trend, but what exactly is a streaming platform? Part messaging system, part Hadoop made fast, part fast ETL and scalable data integration. With Apache Kafka® at the core, event streaming platforms offer an entirely new perspective on managing the flow of data. This talk will explain
Accessibility View text version Categories Technology Upload Details Uploaded via SlideShare as Adobe PDF Usage Rights © All Rights Reserved Statistics Favorites 2 Downloads 0 Comments 0 Embed Views 0 Views on SlideShare 0 Total Views 0 Deep learning — Presentation Transcript Deep Learning 株式会社ウサギィ 五木田 和也 2012/11/0912年11月9日金曜日 自己紹介 ✤ 株式会社ウサギィのエンジニア ✤ 機械学習、自然言語処理、組合せ最適化 ✤ iPhone, Android, Rails ✤ な
Accessibility View text version Categories Technology Upload Details Uploaded via SlideShare as Adobe PDF Usage Rights © All Rights Reserved Statistics Favorites 0 Downloads 0 Comments 0 Embed Views 0 Views on SlideShare 0 Total Views 0 アジャイルに対する見方の変化 — Presentation Transcript アジャイルに対する見方の変化- ソーシャルゲーム開発を経験して- 2012/11/17 太田健一郎 @oota_ken 目次 SIerの時のアジャイル感 アジャイルマニフェストの解釈 XPのプラクティスの解釈 自分がアジャイルだと
Hadoop MapReduceの処理速度より1桁速いと聞いて、早速自前のクラスタ環境で評価しました。
10回開催記念 「データマイニング+WEB ~データマイニング・機械学習活用による継続進化~」ー第10回データマイニング+WEB勉強会@東京ー #Toky...Koichi Hamada
Ruby developers need to stop using EventMachine. It's the wrong direction. Lost in the "Threads vs Event Driven vs Process Spawning" debate is that you can combine them! Learn how Celluloid is improving thread programming by abstracting them using a higher level framework called Celluloid, how you can use Celluloid::IO to throw a reactor pattern into a thread. Using this approach, you can take adv
Currently, we face new challenges in realtime analytics of BigData, such as social monitoring, M2M sensor, online advertising optimization, smart energy management and security monitoring. To analyze these data, scalable machine learning technologies are essential. Jubatus is the open source platform for online distributed machine learning on the data streams of BigData. we explain the inside tech
The document discusses the new version of Apache Sqoop (Sqoop 2), which aims to address challenges with the previous version. Sqoop 2 features a client-server architecture for easier installation and management, a REST API for improved integration with tools like Oozie, and enhanced security. It is designed to make data transfer between Hadoop and external systems simpler, more extensible, and mor
Apache Hive provides SQL-like access to your stored data in Apache Hadoop. Apache HBase stores tabular data in Hadoop and supports update operations. The combination of these two capabilities is often desired, however, the current integration show limitations such as performance issues. In this talk, Enis Soztutar will present an overview of Hive and HBase and discuss new updates/improvements from
This document discusses scalable machine learning using Apache Hadoop and Apache Mahout. It describes what scalable machine learning means in the context of large datasets, provides examples of common machine learning use cases like search and recommendations, and outlines approaches for scaling machine learning algorithms using Hadoop. It also describes the capabilities of the Apache Mahout machi
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