This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
Hadoop 平台和应用程序框架
加州大学圣地亚哥分校課程信息
學生職業成果
29%
完成這些課程後已開始新的職業生涯
28%
通過此課程獲得實實在在的工作福利
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為26 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
Python ProgrammingApache HadoopMapreduceApache Spark
學生職業成果
29%
完成這些課程後已開始新的職業生涯
28%
通過此課程獲得實實在在的工作福利
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為26 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.
完成時間為 2 小時
7 個視頻 （總計 53 分鐘）, 4 個閱讀材料, 1 個測驗
完成時間為 4 小時
Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.
完成時間為 4 小時
10 個視頻 （總計 70 分鐘）, 6 個閱讀材料, 3 個測驗
完成時間為 3 小時
Introduction to Hadoop Distributed File System (HDFS)
In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS.
完成時間為 3 小時
9 個視頻 （總計 58 分鐘）, 5 個閱讀材料, 3 個測驗
完成時間為 7 小時
Introduction to Map/Reduce
This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools.
完成時間為 7 小時
9 個視頻 （總計 27 分鐘）, 3 個閱讀材料, 3 個測驗
審閱
來自HADOOP 平台和应用程序框架的熱門評論
由 CA 提供2015年12月9日
Very detailed , thorough introduction to a lot of the Hadoop ecosystem. Nice explanation and assignment to get a feel for Spark. At times a bit dry but altogether a well structured and taught course.
由 GM 提供2016年1月31日
I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.
由 NP 提供2020年5月15日
Learned about Hadoop Ecosystem, limitations of map-reduce approach and Spark as a solution to overcome some of limitations.Thanks for giving me the opportunity to participate in this MOOC.
由 GC 提供2015年10月24日
Super hands on introduction to key Hadoop components, such as Spark, Map Reduce, Hive, Pig, HBase, HDFS, YARN, Squoop and Flume. I can't wait to the next course on the specialization.
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