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Pluralsight Understanding the MapReduce Programming Model

Pluralsight Understanding the MapReduce Programming Model crack

Course info

Level: Beginner
Duration: 1h 48m

Updated: 22 Sep 2016

 

Processing millions of records requires that you first understand the art of breaking down your tasks into parallel processes. The MapReduce programming model, part of the Hadoop eco-system, gives you a framework to define your solution in terms of parallel tasks, which are then combined to give you the final desired result. In this course, Understanding the MapReduce Programming Model, you'll get an introduction to the MapReduce paradigm. First, you'll learn how it helps you visualize how data flows through the map, partition, shuffle, and sort phases before it gets to the reduce phase and gives you the final result. Next, it will guide you through your very first MapReduce program in Java. Finally, you'll learn to extend the framework Mapper and Reducer classes to plug in your own logic and then run this code on your local machine without using a Hadoop cluster. By the end of this course, you will be able to break big data problems into parallel tasks to help tackle large-scale data munging operations.

در این آموزش تصویری با مدل برنامه نویسی MapReduce آشنا می شوید.

این دوره آموزشی محصول موسسه Pluralsight است.

سرفصل های این دوره:

  • معرفی MapReduce
  • مجموعه داده های بزرگ و سیستم های مقیاس پذیر
  • قدرت و پیچیدگی کار گروهی
  • تفکر به موازارت MapReduce
  • جریان عمومی از یک فرآیند از MapReduce
  • شناسایی نرم افزار از MapReduce
  • دانلود Hadoop Jars و تنظیم یک پروژه با IntelliJ
  • نقشه سلسله مراتب کلاس
  • کاهش سلسله مراتب کلاس
  • برنامه درایور
  • راه اندازی ورودی فایل های داده
  • نقشه کد کلاس
  • کاهش کد کلاس
  • کلاس اصلی و MapReduce Job
  • اجرا اولین شغل MapReduce
  • کنترل موازی در نقشه و کاهش فاز
  • پشت صحنه یک کار  MapReduce
  • استفاده از یک کاهنده تنها
  • استفاده از کاهنده های متعدد
  • Partition, Shuffle, و Sort
  • بهینه سازی نقشه فاز با استفاده از یک ترکیب
  • تنظیم یک کلاس ترکیب در MapReduce شما
  • کاهنده به عنوان Combiners
  • محدودیت در استفاده از کاهنده به عنوان Combiners

عنوان دوره: Pluralsight Understanding the MapReduce Programming Model

مدت دوره: 1 ساعت و 48 دقیقه

نویسنده: Janani Ravi

سطح: مقدماتی

Post Details:
Rate : 3.0/5 based on 14
Download: 44
Visit: 380
Categories: Tutorials
License: FULL CRACKED

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