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[Lecture Notes]Big Data Programming,University of Texas [推广有奖]

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Lisrelchen 发表于 2016-3-29 08:55:16 |AI写论文

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Syllabus - CS378 - Big Data Programming
Spring 2015
MW 9:30 - 11:00 WAG 214
Unique: 52022
Description

The map-reduce programming paradigm is a fundamental tool used in processing large data sets, and is supported in current tools such as Hadoop and MongoDB. Apache Spark offers another programming paradigm for processing large data sets. In this course you will gain an understanding of the concepts embodied in map-reduce, and will investigate how map-reduce is used to address various problems in processing and analyzing large data sets. This course will explore map-reduce as implemented in Hadoop, as well as the associated distributed file system (HDFS). In this course you will gain an understanding of the concepts offered and supported in Spark, and will investigate how to apply these concepts to address various problems including those you addressed using map-reduce.

Objectives

Upon completing this course, the student will be able to design and implement map-reduce programs for various large data set processing tasks, and will be able to deisgn and implement programs using Apache Spark.

Prerequisites

Data structures, Java programming experience.

Textbooks

  • Required: MapReduce Design Patterns, by Donald Miner and Adam Shook
    • O'Reilly Media
    • Print ISBN: 978-1-4493-2717-0 | ISBN 10: 1-4493-2717-6
    • Ebook ISBN: 978-1-4493-4197-8 | ISBN 10: 1-4493-4197-7
  • Required: Learning Spark, by Holden Karau, Andy Konwinsky, Patrick Wendell, Matei Zaharia
    • O'Reilly Media
    • Print ISBN: 978-1-4493-5862-4 | ISBN 10: 1-4493-5862-4
    • Ebook ISBN: 978-1-4493-5860-0 | ISBN 10: 1-4493-5860-8
  • Recommended: Hadoop: The Definitive Guide, 3rd Edition, by Tom White
    • O'Reilly Media/Yahoo Press
    • Print ISBN: 978-1-4493-1152-0 | ISBN 10: 1-4493-1152-0
    • Ebook ISBN: 978-1-4493-1151-3 | ISBN 10: 1-4493-1151-2

Instructor

David Franke
Email: dfranke@cs.utexas.edu
Office: GDC 4.706
Office Hours:

  • M 11:00 AM - 12:00 PM
  • T 12:00 PM - 1:00 PM
  • By appointment

本帖隐藏的内容

Lecture Notes Big Data Programming.zip (7.87 MB)


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关键词:Programming University Universit Big data Lecture concepts address another current course

本帖被以下文库推荐

沙发
hjtoh 发表于 2016-3-29 08:58:31 来自手机
Lisrelchen 发表于 2016-3-29 08:55
Syllabus - CS378 - Big Data Programming
Spring 2015
MW 9:30 - 11:00 WAG 214
是本好书

藤椅
acctoftony 发表于 2016-3-29 09:08:29
谢谢分享。

板凳
duoduoduo 在职认证  发表于 2016-3-29 09:14:27
看看先
不是很了解

报纸
ljh_9802 发表于 2016-3-29 09:32:01
谢谢分享!

地板
andrewcooper 发表于 2016-3-29 09:37:04
下来看看此书

7
heinrico 在职认证  发表于 2016-3-29 10:41:33
thanking you....

8
condmn 发表于 2016-3-29 12:06:38

9
shgby 发表于 2016-3-29 13:37:27
CS378 - Big Data Programming

10
fumingxu 发表于 2016-3-29 13:53:55

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