課程信息
4.5
4,329 個評分
1,114 個審閱
專項課程

第 1 門課程(共 6 門),位於

100% 在線

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

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(小時)

完成時間大約為16 小時

建議:3 weeks of study, 5-6 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語, 印地語, 波斯語...

您將獲得的技能

Big DataApache HadoopMapreduceCloudera
專項課程

第 1 門課程(共 6 門),位於

100% 在線

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

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(小時)

完成時間大約為16 小時

建議:3 weeks of study, 5-6 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語, 印地語, 波斯語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 20 分鐘

Welcome

Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you! ...
Reading
2 個視頻(共 3 分鐘), 2 個閱讀材料
Video2 個視頻
Tell us about yourself and learn about your classmates分鐘
Reading2 個閱讀材料
By the end of this course you will be able to...2分鐘
Optional: Watch this fun video about the San Diego Supercomputer Center!10分鐘
完成時間(小時)
完成時間為 4 小時

Big Data: Why and Where

Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?...
Reading
13 個視頻(共 77 分鐘), 13 個閱讀材料, 1 個測驗
Video13 個視頻
Applications: What makes big data valuable11分鐘
Example: Saving lives with Big Data6分鐘
Example: Using Big Data to Help Patients10分鐘
A Sentiment Analysis Success Story: Meltwater helping Danone1分鐘
Getting Started: Where Does Big Data Come From?2分鐘
Machine-Generated Data: It's Everywhere and There's a Lot!3分鐘
Machine-Generated Data: Advantages4分鐘
Big Data Generated By People: The Unstructured Challenge5分鐘
Big Data Generated By People: How Is It Being Used?10分鐘
Organization-Generated Data: Structured but often siloed7分鐘
Organization-Generated Data: Benefits Come From Combining With Other Data Types4分鐘
The Key: Integrating Diverse Data5分鐘
Reading13 個閱讀材料
Did you know?: 25 facts about big data10分鐘
Slides: What Launched the Big Data Era?10分鐘
Slides: Applications: What Makes Big Data Valuable?10分鐘
Slides: Saving Lives With Big Data10分鐘
Slides: Using Big Data to Help Patients10分鐘
Extra Resources10分鐘
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10分鐘
Slides: Machine-Generated Data: Advantages10分鐘
Slides: Big Data Generated By People: The Unstructured Challenge10分鐘
Slides: Big Data Generated By People: How is it Being Used?10分鐘
Slides: Organization-Generated Big Data: Structured But Often Siloed10分鐘
Slides: Organizaton-Generated Big Data: Benefits10分鐘
Slides: The Key - Integrating Diverse Data10分鐘
Quiz1 個練習
Why Big Data and Where Did it Come From?38分鐘
2
完成時間(小時)
完成時間為 2 小時

Characteristics of Big Data and Dimensions of Scalability

You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value....
Reading
7 個視頻(共 34 分鐘), 9 個閱讀材料, 1 個測驗
Video7 個視頻
Characteristics of Big Data - Volume5分鐘
Characteristics of Big Data - Variety5分鐘
Characteristics of Big Data - Velocity6分鐘
Characteristics of Big Data - Veracity6分鐘
Characteristics of Big Data - Valence2分鐘
The Sixth V: Value4分鐘
Reading9 個閱讀材料
What does astronomical scale mean?10分鐘
A Small Definition of Big Data10分鐘
Slides: Getting Started - Characteristics of Big Data10分鐘
Slides: Characteristics of Big Data - Volume10分鐘
Slides: Characteristics of Big Data - Variety10分鐘
Slides: Characteristics of Big Data - Velocity10分鐘
Slides: Characteristics of Big Data - Veracity10分鐘
Slides: Characteristics of Big Data - Value10分鐘
Slides: Characteristics of Big Data - Valence10分鐘
Quiz1 個練習
V for the V's of Big Data14分鐘
完成時間(小時)
完成時間為 4 小時

Data Science: Getting Value out of Big Data

We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems....
Reading
11 個視頻(共 66 分鐘), 12 個閱讀材料, 1 個測驗
Video11 個視頻
Building a Big Data Strategy9分鐘
How does big data science happen?: Five Components of Data Science9分鐘
Asking the Right Questions3分鐘
Steps in the Data Science Process3分鐘
Step 1: Acquiring Data6分鐘
Step 2-A: Exploring Data4分鐘
Step 2-B: Pre-Processing Data8分鐘
Step 3: Analyzing Data8分鐘
Step 4: Communicating Results4分鐘
Step 5: Turning Insights into Action2分鐘
Reading12 個閱讀材料
Five P's of Data Science10分鐘
Slides: Getting Value Out of Big Data10分鐘
Slides: Building a Big Data Strategy10分鐘
Slides: The Five P's of Data Science10分鐘
Slides: Asking the Right Questions10分鐘
Slides: Steps in the Data Science Process10分鐘
Slides: Step 1 - Acquiring Data10分鐘
Slides: Step 2A-Exploring Data10分鐘
Slides: Step 2B-Preprocessing Data10分鐘
Slides: Step 3-Data Analysis10分鐘
Slides: Step 4-Communicating Results10分鐘
Slides: Step 5-Turning Insights Into Action10分鐘
Quiz1 個練習
Data Science 10120分鐘
3
完成時間(小時)
完成時間為 1 小時

Foundations for Big Data Systems and Programming

Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts....
Reading
4 個視頻(共 19 分鐘), 4 個閱讀材料, 1 個測驗
Video4 個視頻
What is a Distributed File System?6分鐘
Scalable Computing over the Internet4分鐘
Programming Models for Big Data6分鐘
Reading4 個閱讀材料
Slides: Getting Started-Why Worry About Foundations?10分鐘
Slides: What is a Distributed File System?10分鐘
Slides: Scalable Computing Over the Internet10分鐘
Slides: Programming Models for Big Data10分鐘
Quiz1 個練習
Foundations for Big Data20分鐘
完成時間(小時)
完成時間為 5 小時

Systems: Getting Started with Hadoop

Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review....
Reading
11 個視頻(共 66 分鐘), 8 個閱讀材料, 3 個測驗
Video11 個視頻
The Hadoop Ecosystem: Welcome to the zoo!7分鐘
The Hadoop Distributed File System: A Storage System for Big Data7分鐘
YARN: A Resource Manager for Hadoop5分鐘
MapReduce: Simple Programming for Big Results12分鐘
When to Reconsider Hadoop?4分鐘
Cloud Computing: An Important Big Data Enabler6分鐘
Cloud Service Models: An Exploration of Choices4分鐘
Value From Hadoop and Pre-built Hadoop Images3分鐘
Copy your data into the Hadoop Distributed File System (HDFS)4分鐘
Run the WordCount program5分鐘
Reading8 個閱讀材料
MapReduce in the Pasta Sauce Example10分鐘
Slides for Getting Started With Hadoop10分鐘
Downloading and Installing the Cloudera VM Instructions (Mac)10分鐘
Downloading and Installing the Cloudera VM Instructions (Windows)10分鐘
FAQ10分鐘
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10分鐘
Run the WordCount program Instructions10分鐘
How do I figure out how to run Hadoop MapReduce programs?10分鐘
Quiz2 個練習
Intro to Hadoop26分鐘
Running Hadoop MapReduce Programs Quiz4分鐘
4.5
1,114 個審閱Chevron Right
職業方向

47%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

11%

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熱門審閱

創建者 PBMay 25th 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

創建者 RGJul 14th 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

講師

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

關於 University of California San Diego

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....

關於 Big Data 專項課程

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
Big Data

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