课程信息
4.3
1,737 个评分
289 个审阅
专项课程

第 2 门课程(共 6 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为16 小时

建议:6 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Data ModelBig DataData ModelingData Management
专项课程

第 2 门课程(共 6 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为16 小时

建议:6 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 小时

Introduction to Big Data Modeling and Management

Welcome to this course on big data modeling and management. Modeling and managing data is a central focus of all big data projects. In these lessons we introduce you to the concepts behind big data modeling and management and set the stage for the remainder of the course. ...
Reading
14 个视频 (总计 63 分钟), 8 个阅读材料
Video14 个视频
Why is this a New Course in the Big Data Specialization?分钟
Summary of Introduction to Big Data (Part 1)5分钟
Summary of Introduction to Big Data (Part 2)5分钟
Summary of Introduction to Big Data (Part 3)5分钟
Big Data Management "Must-Ask Questions"1分钟
Data Ingestion4分钟
Data Storage3分钟
Data Quality2分钟
Data Operations3分钟
Data Scalability and Security2分钟
Energy Data Management Challenges at ConEd4分钟
Gaming Industry Data Management: Q&A with Apmetrix CTO Mark Caldwell7分钟
Flight Data Management at FlightStats: A Lecture by CTO Chad Berkley13分钟
Reading8 个阅读材料
Slides: Summary of Introduction to Big Data10分钟
Slides: Big Data Management10分钟
Reading on Storage Systems10分钟
Slides: Energy Data Management Challenges at ConEd10分钟
Slides: Flight Data Management at FlightStats10分钟
Downloading and Installing the Cloudera VM Instructions (Windows)10分钟
Downloading and Installing the Cloudera VM Instructions (Mac)10分钟
Instructions for Downloading Hands On Datasets10分钟
2
完成时间(小时)
完成时间为 3 小时

Big Data Modeling

Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models. In these lessons you will learn the details about big data modeling and you will gain the practical skills you will need for modeling your own big data projects....
Reading
11 个视频 (总计 52 分钟), 8 个阅读材料, 1 个测验
Video11 个视频
Data Model Structures2分钟
Data Model Operations4分钟
Data Model Constraints4分钟
Introduction to CSV Data4分钟
What is a Relational Data Model?10分钟
What is a Semistructured Data Model?6分钟
Exploring the Relational Data Model of CSV Files4分钟
Exploring the Semistructured Data Model of JSON data3分钟
Exploring the Array Data Model of an Image3分钟
Exploring Sensor Data4分钟
Reading8 个阅读材料
Slides: What Is A Data Model?10分钟
Introduction to CSV Data10分钟
Slides: What Is A Relational Data Model?10分钟
Slides: What is a Semistructured Data Model?10分钟
Exploring the Relational Data Model of Comma Separated Values (CSV)10分钟
Exploring the Semistructured Data Model of JSON data10分钟
Exploring the Array Data Model of an Image10分钟
Exploring Sensor Data10分钟
Quiz1 个练习
Practical Quiz for Week 2 Hands-On Lectures18分钟
3
完成时间(小时)
完成时间为 2 小时

Big Data Modeling (Part 2)

These lessons continue to shed light on big data modeling with specific approaches including vector space models, graph data models, and more. ...
Reading
5 个视频 (总计 31 分钟), 5 个阅读材料, 1 个测验
Video5 个视频
Graph Data Model7分钟
Other Data Models4分钟
Exploring the Lucene Search Engine's Vector Data Model4分钟
Exploring Graph Data Models with Gephi3分钟
Reading5 个阅读材料
Slides: Vector Space Model10分钟
Slides: Graph Data Model10分钟
Slides: Other Data Models10分钟
Exploring Vector Data Models with Lucene10分钟
Exploring Graph Data Models with Gephi10分钟
Quiz1 个练习
Data Models Quiz18分钟
4
完成时间(小时)
完成时间为 2 小时

Working With Data Models

Data models deal with many different types of data formats. Streaming data is becoming ubiquitous, and working with streaming data requires a different approach from working with static data. In these lessons you will gain practical hands-on experience working with different forms of streaming data including weather data and twitter feeds. ...
Reading
6 个视频 (总计 29 分钟), 7 个阅读材料, 1 个测验
Video6 个视频
What is a Data Stream?5分钟
Why is Streaming Data different?7分钟
Understanding Data Lakes5分钟
Exploring Streaming Sensor Data4分钟
Exploring Streaming Twitter Data (Optional)4分钟
Reading7 个阅读材料
Slides: Data Model vs. Data Format10分钟
Slides: What is a Data Stream?10分钟
Slides: Why is Streaming Data Different?10分钟
Slides: Understanding Data Lakes10分钟
Exploring Streaming Sensor Data10分钟
Instructions for Creating a Twitter App (Optional)10分钟
Exploring Streaming Twitter Data (Optional)10分钟
Quiz1 个练习
Data Formats and Streaming Data Quiz18分钟
4.3
289 个审阅Chevron Right
职业方向

48%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利

热门审阅

创建者 MPOct 17th 2017

Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.

创建者 VGMar 28th 2017

Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)

讲师

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

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

关于 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....

关于 Big Data 专项课程

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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