hadoop apache.jp

日本Hadoopユーザー会

オープンソースの並列分散処理ミドルアウェア Apache Hadoopのユーザー会ですApache HadoopだけでなくApache HiveやApache SparkなどのHadoopのエコシステムに関するテーマも扱います勉強会やイベントも開催しています

OVERVIEW

The site hadoop.apache.jp presently has an average traffic ranking of zero (the smaller the more users). We have examined fourteen pages within the web page hadoop.apache.jp and found two websites linking to hadoop.apache.jp. There are one social network sites possessed by this website.
Pages Crawled
14
Links to this site
2
Social Links
1

HADOOP.APACHE.JP TRAFFIC

The site hadoop.apache.jp is seeing varying amounts of traffic through the year.
Traffic for hadoop.apache.jp

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1 month
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Traffic ranking (by month) for hadoop.apache.jp

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Traffic ranking by day of the week for hadoop.apache.jp

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LINKS TO DOMAIN

WHAT DOES HADOOP.APACHE.JP LOOK LIKE?

Desktop Screenshot of hadoop.apache.jp Mobile Screenshot of hadoop.apache.jp Tablet Screenshot of hadoop.apache.jp

HADOOP.APACHE.JP SERVER

We caught that a single page on hadoop.apache.jp took one thousand nine hundred and thirty-eight milliseconds to download. I could not detect a SSL certificate, so we consider hadoop.apache.jp not secure.
Load time
1.938 secs
SSL
NOT SECURE
Internet Protocol
52.192.10.108

SERVER OS

We discovered that hadoop.apache.jp is using the Apache/2.4.23 (Amazon) PHP/5.6.28 server.

HTML TITLE

日本Hadoopユーザー会

DESCRIPTION

オープンソースの並列分散処理ミドルアウェア Apache Hadoopのユーザー会ですApache HadoopだけでなくApache HiveやApache SparkなどのHadoopのエコシステムに関するテーマも扱います勉強会やイベントも開催しています

PARSED CONTENT

The site has the following on the homepage, "イベント Datapalooza Tokyo 2016 にて日本Hadaoopユーザー会として講演 ちょっと理解に自信がないなという方に贈るHadoop Sparkのキホン を行いました イベント名 Datapalooza Tokyo 2016." We noticed that the web page also said " 講演者 日本Hadoopユーザー会 濱野 賢一朗 NTTデータ." It also stated " Hadoopなどに関する勉強会 Hadoopソースコードリーディング 第20回 を開催しました 日時 2016年3月24日 木 1900 2130. Apache Kylin Materialized View for BigData 古山 慎悟 Yahoo! 2016年2月8日 月 1000 1900 受付開始 930." The header had Apache Hadoop as the highest ranking keyword. This keyword was followed by MapReduce, HDFS, and Apache Hive which isn't as urgent as Apache Hadoop. The other words the site uses is Apache Pig. Apache Spark is also included and might not be viewed by search parsers.

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