Return-Path: X-Original-To: apmail-hadoop-mapreduce-user-archive@minotaur.apache.org Delivered-To: apmail-hadoop-mapreduce-user-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 62CA810656 for ; Thu, 12 Feb 2015 18:51:23 +0000 (UTC) Received: (qmail 72399 invoked by uid 500); 12 Feb 2015 18:51:17 -0000 Delivered-To: apmail-hadoop-mapreduce-user-archive@hadoop.apache.org Received: (qmail 72296 invoked by uid 500); 12 Feb 2015 18:51:17 -0000 Mailing-List: contact user-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@hadoop.apache.org Delivered-To: mailing list user@hadoop.apache.org Received: (qmail 72285 invoked by uid 99); 12 Feb 2015 18:51:17 -0000 Received: from athena.apache.org (HELO athena.apache.org) (140.211.11.136) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 12 Feb 2015 18:51:17 +0000 X-ASF-Spam-Status: No, hits=1.5 required=5.0 tests=HTML_MESSAGE,RCVD_IN_DNSWL_LOW,SPF_PASS X-Spam-Check-By: apache.org Received-SPF: pass (athena.apache.org: domain of jayunit100.apache@gmail.com designates 74.125.82.179 as permitted sender) Received: from [74.125.82.179] (HELO mail-we0-f179.google.com) (74.125.82.179) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 12 Feb 2015 18:51:13 +0000 Received: by mail-we0-f179.google.com with SMTP id u56so11988408wes.10 for ; Thu, 12 Feb 2015 10:50:52 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=aYPTOIWqBKDvLbxNhm73VHXxMJiG8sFkQ/wxwxAIo3g=; b=mOePYhqQT9CXACKOaFdsiVl2ub8l/17NV/NEDuEG7o/rrdN2FEaLM0JCdBAz74SJPu F2gYrOZTYCW9UkWSsimr5Dlcn66DE+pb97SHeY5+mtctcGWm67AzIfdwpYewUl81u1Qy /T0rmSycx/7jdNHcNps2tIjcNddagGdmfeUZu+JL0IR3QM7T3Y5csxSzkLZVXjEz3Miv T5pNNK6IUgEa62KagG482ppFBjKHkJ+dcN70PiYvw+CLNbqc2SYQiq8BRZCudkGOZaxJ e58u4j45gG7BM6Gwc/ieTGhXR+y0meBumi7DhH3ukeoNni7KLeiJcMoFcROZf2OESzXT o1zQ== MIME-Version: 1.0 X-Received: by 10.194.59.112 with SMTP id y16mr11221203wjq.36.1423767052131; Thu, 12 Feb 2015 10:50:52 -0800 (PST) Received: by 10.27.175.144 with HTTP; Thu, 12 Feb 2015 10:50:52 -0800 (PST) In-Reply-To: References: Date: Thu, 12 Feb 2015 13:50:52 -0500 Message-ID: Subject: Re: Interview Questions asked for Hadoop Admin From: jay vyas To: "common-user@hadoop.apache.org" Content-Type: multipart/alternative; boundary=047d7ba97cc462a3fd050ee8993a X-Virus-Checked: Checked by ClamAV on apache.org --047d7ba97cc462a3fd050ee8993a Content-Type: text/plain; charset=UTF-8 Hi krish. Im going to interpret this as "What is a real world hadoop project workload i can run to study for my upcoming job interview" :) ... You could look here https://github.com/apache/bigtop/tree/master/bigtop-bigpetstore/bigpetstore-mapreduce If you understand that application, you will do just fine :) . We use custom input formats to generate arbitrarily large data sets, pig processing, and mahout's recommender all in the bigpetstore-mapreduce implementation. Also , its all unit tested (the jobs themselves), so you can run and inspect changes locally, and get a feel for maintaining a real world hadoop app. Running it and modifying the data generation and other phases will be a great form of preparation for you, and you can run it all by spinning up VMs in apache bigtop. On Thu, Feb 12, 2015 at 1:03 PM, Krish Donald wrote: > Hi, >> >> Does anybody has interview questions which was asked during their >> interview on Hadoop admin role? >> >> I found few on internet but if somebody who has attended the interview >> can give us an idea , that will be great. >> >> Thanks >> Krish >> > > > -- jay vyas --047d7ba97cc462a3fd050ee8993a Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi krish.=C2=A0

Im going to interpret th= is as "What is a real world hadoop project workload i can run to study= for my upcoming job interview" :) ...

You could look here https://github.com/apache/bigtop/tree/master/bigtop-big= petstore/bigpetstore-mapreduce

If you understand that app= lication, you will do just fine :) .

We use custom input = formats to generate arbitrarily large data sets, pig processing, and mahout= 's recommender all in the bigpetstore-mapreduce implementation.=C2=A0 A= lso , its all unit tested (the jobs themselves), so you can run and inspect= changes locally, and get a feel for maintaining a real world hadoop app. R= unning it and modifying the data generation and other phases will be a grea= t form of preparation for you, and you can run it all by spinning up VMs in= apache bigtop.




<= div class=3D"gmail_quote">On Thu, Feb 12, 2015 at 1:03 PM, Krish Donald <gotomypc27@gmail.com> wrote:
Hi,
<= br>
Does anybody has interview questions which was asked during t= heir interview on Hadoop admin role?

I found few o= n internet but if somebody who has attended the interview can give us an id= ea , that will be great.

Thanks
Krish





--
jay vyas
--047d7ba97cc462a3fd050ee8993a--