About this Course
4.3
1,741 ratings
289 reviews
Specialization

Course 2 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 16 hours to complete

Suggested: 6 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Data ModelBig DataData ModelingData Management
Specialization

Course 2 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 16 hours to complete

Suggested: 6 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

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 videos (Total 63 min), 8 readings
Video14 videos
Why is this a New Course in the Big Data Specialization?41s
Summary of Introduction to Big Data (Part 1)5m
Summary of Introduction to Big Data (Part 2)5m
Summary of Introduction to Big Data (Part 3)5m
Big Data Management "Must-Ask Questions"1m
Data Ingestion4m
Data Storage3m
Data Quality2m
Data Operations3m
Data Scalability and Security2m
Energy Data Management Challenges at ConEd4m
Gaming Industry Data Management: Q&A with Apmetrix CTO Mark Caldwell7m
Flight Data Management at FlightStats: A Lecture by CTO Chad Berkley13m
Reading8 readings
Slides: Summary of Introduction to Big Data10m
Slides: Big Data Management10m
Reading on Storage Systems10m
Slides: Energy Data Management Challenges at ConEd10m
Slides: Flight Data Management at FlightStats10m
Downloading and Installing the Cloudera VM Instructions (Windows)10m
Downloading and Installing the Cloudera VM Instructions (Mac)10m
Instructions for Downloading Hands On Datasets10m
Week
2
Hours to complete
3 hours to complete

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 videos (Total 52 min), 8 readings, 1 quiz
Video11 videos
Data Model Structures2m
Data Model Operations4m
Data Model Constraints4m
Introduction to CSV Data4m
What is a Relational Data Model?10m
What is a Semistructured Data Model?6m
Exploring the Relational Data Model of CSV Files4m
Exploring the Semistructured Data Model of JSON data3m
Exploring the Array Data Model of an Image3m
Exploring Sensor Data4m
Reading8 readings
Slides: What Is A Data Model?10m
Introduction to CSV Data10m
Slides: What Is A Relational Data Model?10m
Slides: What is a Semistructured Data Model?10m
Exploring the Relational Data Model of Comma Separated Values (CSV)10m
Exploring the Semistructured Data Model of JSON data10m
Exploring the Array Data Model of an Image10m
Exploring Sensor Data10m
Quiz1 practice exercise
Practical Quiz for Week 2 Hands-On Lectures18m
Week
3
Hours to complete
2 hours to complete

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 videos (Total 31 min), 5 readings, 1 quiz
Video5 videos
Graph Data Model7m
Other Data Models4m
Exploring the Lucene Search Engine's Vector Data Model4m
Exploring Graph Data Models with Gephi3m
Reading5 readings
Slides: Vector Space Model10m
Slides: Graph Data Model10m
Slides: Other Data Models10m
Exploring Vector Data Models with Lucene10m
Exploring Graph Data Models with Gephi10m
Quiz1 practice exercise
Data Models Quiz18m
Week
4
Hours to complete
2 hours to complete

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 videos (Total 29 min), 7 readings, 1 quiz
Video6 videos
What is a Data Stream?5m
Why is Streaming Data different?7m
Understanding Data Lakes5m
Exploring Streaming Sensor Data4m
Exploring Streaming Twitter Data (Optional)4m
Reading7 readings
Slides: Data Model vs. Data Format10m
Slides: What is a Data Stream?10m
Slides: Why is Streaming Data Different?10m
Slides: Understanding Data Lakes10m
Exploring Streaming Sensor Data10m
Instructions for Creating a Twitter App (Optional)10m
Exploring Streaming Twitter Data (Optional)10m
Quiz1 practice exercise
Data Formats and Streaming Data Quiz18m
4.3
289 ReviewsChevron Right
Career direction

48%

started a new career after completing these courses
Career Benefit

42%

got a tangible career benefit from this course

Top Reviews

By 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.

By 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)

Instructors

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

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

About 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....

About the Big Data Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.