大規模データ活用向けストレージレイヤソフトのこれまでとこれから (NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05) NTTデータ システム技術本部 OSSプロフェッショナルサービス 吉田 耕陽, 福久 琢也 Read less
Rejected HCJ 2016 で発表した資料です。 http://www.zusaar.com/event/17397003Read less
Apache Kafka 0.8 basic training (120 slides) covering: 1. Introducing Kafka: history, Kafka at LinkedIn, Kafka adoption in the industry, why Kafka 2. Kafka core concepts: topics, partitions, replicas, producers, consumers, brokers 3. Operating Kafka: architecture, hardware specs, deploying, monitoring, P&S tuning 4. Developing Kafka apps: writing to Kafka, reading from Kafka, testing, serializatio
Big Data Camp LA 2014, Yarn about YARN: Migrating to Mapreduce v2Read less
Yahoo! is one of the most-visited web sites in the world. It runs one of the largest private cloud infrastructures, one that operates on petabytes of data every day. Being able to store and manage that data well is essential to the efficient functioning of Yahoo!`s Hadoop clusters. A key component that enables this efficient operation is data compression. With regard to compression algorithms, the
1) Twitter migrated their Hadoop infrastructure from Hadoop 1 to Hadoop 2 to address scalability challenges and improve efficiency from tens of thousands of servers and hundreds of petabytes of data. 2) The migration involved extensive testing of Hadoop 2 configurations and dependent components before rolling out to production clusters supporting various use cases such as analytics, personalizatio
MySQL Applier for Apache Hadoop: Real-Time Event Streaming to HDFSMats Kindahl
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く