2016年6/ 28～6/ 30 （米国時間） の3日間に渡って米サンノゼで開催された 「Hadoop Summit 2016 San Jose」 （⁠主催: Hortornworks／ Yahoo!） では、 2016年のHadoopトレンドを紹介する数多くの技術／ 事例セッションが行われました。本稿ではそのひとつ、 Hortonwokrsによる ...

Hadoop is hard. There’s just no way around that. Setting up and running a cluster is hard, and so is developing applications that make sense of, and create value from, big data. What Hadoop really ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

「Hive――RDB使いのためのHadoopガイド」に関する情報が集まったページです。 ITmediaはアイティメディア株式会社の登録商標です。

Hive's SQL-like query language and vastly improved speed on huge data sets make it the perfect partner for an enterprise data warehouse Apache Hive is a tool built on top of Hadoop for analyzing large ...

東京大学産学連携企業の株式会社リッテル（本社：東京都文京区、代表取締役社長：和田憲治）は、第二回「Hadoopセミナー」を開催いたします。 その処理能力の高さとコストパフォーマンスにおける潜在能力の高さから、 2008年頃からコアな技術者の間で ...

The underlying programming model for MapReduce has been revamped and has changed quite a bit. Chuck Lam, the author of Hadoop in Action Benefits that keep getting better include high levels of ...

Hapyrus has launched FlyData, technology that enables it to automatically upload and migrate data to Amazon Redshift, the data-warehouse service that can scale to petabyte size. Amazon has claimed ...

In a recent article, I wrote about how you could create a Hadoop cluster within the Amazon Web Services (AWS) cloud. After completing that article, it occurred to me that it might be useful for to ...

With five per cent monthly data growth, the dating site had to move away from MySQL and Excel to faster tools - and cultivate its inner rock prima donna With more than 300 million users worldwide, ...