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This is a proposal for a system specialized in running Hadoop/Pig jobs in a control dependency DAG (Direct Acyclic Graph), a Hadoop workflow application. Attached there is a complete specification and a high level overview presentation. Highlights A Workflow application is DAG that coordinates the following types of actions: Hadoop, Pig, Ssh, Http, Email and sub-workflows. Flow control operations
In an era where artificial intelligence (AI) is reshaping enterprises across the globe—be it in healthcare, finance, or manufacturing—it’s hard to overstate the transformation that AI has had on businesses, regardless of industry or size. At Cloudera, we recognize the urgent need for bold steps to harness this potential and dramatically accelerate the time to […] Read blog post
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Exposing HDFS for those of our clients who use Windows technology was also somewhat of an issue. There were some good patches on hadoop JIRA that implemented the WebDAV protocol on top of the Java API – most of the work was done there. We fixed a few issues and adapted them to work with the newer versions of hadoop, and also enabled support for authentication and HDFS-permissions. This was co-deve
It is finally here: you can configure the open source log-aggregator, scribe, to log data directly into the Hadoop distributed file system. Many Web 2.0 companies have to deploy a bunch of costly filers to capture weblogs being generated by their application. Currently, there is no option other than a costly filer because the write-rate for this stream is huge. The Hadoop-Scribe integration allows
I have encountered plenty of questions about the single point of failure for the HDFS NameNode. The most common concern being that if the NameNode dies, then the whole cluster is unavailable. This means that HDFS is unsuitable for applications that need a high degree of uptime. This is not a problem when you run map-reduce jobs on HDFS, especially because a map-reduce system is a batch system and
Cloudera Distribution for Hadoopのインストール方法 2009-11-03 (Tue) 1:08 Hadoop 昔色々と記事を書きましたが、1年半経って、もはや内容が古くなって来ました。 Hadoopのインストールは、最近はCloudera Distribution for Hadoopを使用するのが一般的なようなので、こちらでのインストール方法を紹介します。 まずはEC2で2インスタンス立ち上げます。一つがNameNode/JobTracker用、もう一つがDataNode/TaskTracker用です。仮に、ホスト名をmaster, slaveとしておきます。OSはCentOSが推奨されています。 次にCloudera Configuratorにアクセスし、使用するクラスタの構成などを入力します。それらの情報(例:ノードのコア数・メモリ容量・台数など)から
It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to […] Read blog post
It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to […] Read blog post
If you are running on a Debian-based platform, you can download our packages using apt. Setting up your Apt Repository Add repository. Create a new file /etc/apt/sources.list.d/cloudera.list with the following contents, taking care to replace DISTRO with the name of your distribution (find out by running lsb_release -c) Stable deb http://archive.cloudera.com/debian DISTRO-stable contrib deb-src ht
Tyson Condie and Neil Conway and Peter Alvaro and Joseph M. Hellerstein and Khaled Elmeleegy and Russell Sears EECS Department, University of California, Berkeley Technical Report No. UCB/EECS-2009-136 October 9, 2009 http://www2.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-136.pdf MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault toleranc
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