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# System prepended metadata

title: 'EMR Training: Intro to EMR (1 of 11)'

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title:科技英文-EMR Training: Intro to EMR (1 of 11)

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# EMR Training: Intro to EMR (1 of 11)

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welcome to Hadoop and Amazon Web
歡迎使用Hadoop和Amazon Web 
hadupe
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Services this first section is a short
服務的第一部分是簡短的

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overview and it begins with the
概述，它始於

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obligatory who's this disembodied voice
誰是這個無形的聲音
Obligatory:需要的
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you're hearing during the course well
你在課程中聽的很好

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I'm Ken Krug ler I've been using Hadoop
我是Ken Krug ler，我一直在使用Hadoop 

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for many years since around 2006 I'm
自2006年左右以來多年以來
2006=2000+6
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active in the Apache tika project and I
積極參與Apache tika專案，我
Apache:美國原住民
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used to Hadoop almost every day to create
過去幾乎每天都會make something

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solutions for our customers these
為我們的客戶提供的解決方案

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solutions typically involve things like
解決方案通常涉及諸如
Typically:一般來說
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large-scale web crawling machine
大型網頁爬行機
老師說他也沒見過這個詞
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learning often the outcome of this
經常學習這個的結果

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extract information and load workflow is a
提取轉換和載入工作流程是
Workflow:路線
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solar index and for the past two and a
太陽指數，以及過去兩個和一個:老師說這只是在說故事.不重要

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half years I've almost exclusively been
半年我幾乎完全是
Exclusively=only
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using Amazon Web Services both easy to
使用Amazon Web Services既容易

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and elastic MapReduce to create these
和彈性MapReduce來創建這些

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Two Hadoop solutions this course assumes
本課程假定的兩個重複解決方案
Assumes:原因/認可, 假定，假設
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that you already know Hadoop this is not
您已經知道Hadoop，這不是

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an intro to Hadoop course what it
 Hadoop課程簡介
Intro:introduction 簡報
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assumes is that you want to learn how to
假設您想學習如何

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use Amazon's elastic MapReduce to solve
使用亞馬遜的彈性MapReduce解決

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the new problems so for the next ten
接下來的十個新問題

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modules we're going to take you from you
模組將帶您離開
Modules=part
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know nothing about it to you can
對它一無所知

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actually use it to solve your Hadoop
實際使用它來解決您的Hadoop 

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problems we're gonna cover how to get
我們要解決的問題
Gonna=口語=going to
Cover=talk about

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started which means getting an account
開始，這意味著要獲得一個帳戶

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getting everything configured so you can
進行所有配置，以便您可以
Configured: 設置
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actually run jobs how you decide what
實際執行工作，您如何決定

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kinds of servers and how you how big
各種伺服器以及您有多大

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your cluster needs to be we'll have a
您的集群需要是，我們將有一個
Cluster:機房(很多電腦在一起)
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hands-on lab which involves processing
涉及處理的動手實驗室

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Wikipedia data then we're going to get
維琪百科的資料，那麼我們將得到
Wikipedia:只有台灣才只說Wiki
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into more advanced topics how do you use
進入更高級的主題，您如何使用

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the command-line tools instead of the
命令列工具而不是

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browser interface:網站像CHROME
流覽器介面

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how do you do bug your workflows inside
您如何做才能將您的工作流程弄錯
Bug:問題
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of elastic MapReduce and then we're
 MapReduce的彈性，然後我們

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gonna cover some hive and pig including
會蓋一些蜂巢和豬，包括

N00b=person who is new to do something->美國人真的會這樣說
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a hive lab and finally we'll get into
一個配置單元實驗室，最後我們將進入

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advanced topics things like how do you
進階主題，例如您如何

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use spot pricing to reduce your cost how
使用現貨定價來降低成本

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can you dynamically change the size of
您可以動態更改
Dynamically=very much
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your cluster now as a fundamental
您的集群現在已成為基礎
Fundamental=a key

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question of why do you want to use
為什麼要使用的問題

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elastic MapReduce why are you even
彈性MapReduce為什麼你甚至

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listening to this course well there's
很好地聽這門課

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three key reasons the first has to do
首先要做的三個關鍵原因

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with cost now if you have your own
現在，如果您有自己的成本

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cluster like we did at my crew will
就像我們在機組人員身上所做的那樣

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start up here's what happens you set up
開始這裡就是您設置的過程

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the cluster which means you buy the
集群，這意味著您購買了

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hardware you rack it you Network it you
硬體，機架，網路

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configure it you know you have an ops
配置它，您知道您有操作

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person who's busy doing all those things
忙著做所有這些事情的人

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and then you typically don't use it all
然後您通常不會全部使用

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the time during development like for
開發過程中的時間

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example a crew will we use their cluster
例如，機組人員將使用他們的集群
Crew=team of workers 
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maybe 20 percent of the time
大概有20％的時間

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which means the effective cost was
這意味著有效成本是

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almost 5x now with elastic MapReduce
現在使用彈性MapReduce幾乎提高了5倍
5x=5 times
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you're only paying for what you actually
您只為您實際支付的錢

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need when you need it and you're not
需要，當您需要它而您不

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paying an ops team to maintain a cluster
支付操作團隊維護集群
Ops=operation =to check anything is OK
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now the second key point is you have a
現在第二個關鍵點是

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lot more agility for example if you
例如更多的敏捷性

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suddenly decide I need a cluster of 100
突然決定我需要100個集群

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servers and they need to be this kind of
伺服器，他們需要這種

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server you don't have to buy those
伺服器，您不必購買那些

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servers or rack them or do all that
伺服器或機架它們或做所有這些

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other stuff you can just from the
你可以從其他東西
Stuff=事情
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command line or from the AWS browser
命令列或從AWS流覽器
Command-line
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interface say I want a cluster that's
介面說我想要一個集群

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this big and in a couple minutes you
這麼大，幾分鐘後

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have it and finally you get to focus on
有了它，最後你開始專注於

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the actual Hadoop workflow you're not
您不是真正的Hadoop工作流程

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spending your time worrying about which
花時間擔心哪個

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version of a and Hadoop how to upgrade
版本的欺騙以及如何升級
Version=版本(N)
Upgrade=(N)(V)
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Hadoop and what happens when one of your
 Hadoop，當您的一個

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clusters is having a problem with the
集群有問題

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Hadoop Amazon has a very specific
杜佩和亞馬遜有一個非常具體的

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version of Hadoop that's been optimized
經過優化的Hadoop版本
Optimized=the make the best way 優化
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for Amazon's infrastructure so you get
亞馬遜的基礎設施

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maximum performance and it reduces the
最大的性能，它減少了

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number of issues that you'll run into
您將遇到的問題數量

