Introduction to Big Data
Categories: Big Data Specialization, Data Programs
What Will You Learn?
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Course Content
Module 1: Welcome
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Welcome to the Big Data Specialization
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Tell us about yourself and learn about your classmates
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2 readings
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By the end of this course you will be able to…
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Optional: Watch this fun video about the San Diego Supercomputer Center!
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1 discussion prompt
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Let’s Discuss: Why are you taking this class?
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Module 2: Big Data Why and Where?
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What launched the Big Data era?
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Applications: What makes big data valuable
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Example: Saving lives with Big Data
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Example: Using Big Data to Help Patients
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A Sentiment Analysis Success Story: Meltwater helping Danone
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Getting Started: Where Does Big Data Come From?
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Machine-Generated Data: It’s Everywhere and There’s a Lot!
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Machine-Generated Data: Advantages
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Big Data Generated By People: The Unstructured Challenge
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Big Data Generated By People: How Is It Being Used?
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Organization-Generated Data: Structured but often siloed
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Organization-Generated Data: Benefits Come From Combining With Other Data Types
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The Key: Integrating Diverse Data
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13 readings
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Did you know?: 25 facts about big data
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Slides: What Launched the Big Data Era?
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Slides: Applications: What Makes Big Data Valuable?
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Slides: Saving Lives With Big Data
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Slides: Using Big Data to Help Patients
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Extra Resources
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Slides: Machine-Generated Data: It’s Everywhere and There’s a Lot!
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Slides: Machine-Generated Data: Advantages
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Slides: Big Data Generated By People: The Unstructured Challenge
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Slides: Big Data Generated By People: How is it Being Used?
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Slides: Organization-Generated Big Data: Structured But Often Siloed
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Slides: Organizaton-Generated Big Data: Benefits
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Slides: The Key – Integrating Diverse Data
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1 quiz
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Why Big Data and Where Did it Come From?
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2 discussion prompts
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Let’s Discuss: What application area interests you?
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Let’s discuss: Who are you providing data to?
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Module 3: Characteristics of Big Data and Dimensions of Scalability
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Getting Started: Characteristics Of Big Data
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Characteristics of Big Data – Volume
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Characteristics of Big Data – Variety
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Characteristics of Big Data – Velocity
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Characteristics of Big Data – Veracity
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Characteristics of Big Data – Valence
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The Sixth V: Value
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9 readings
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What does astronomical scale mean?
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A Small Definition of Big Data
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Slides: Getting Started – Characteristics of Big Data
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Slides: Characteristics of Big Data – Volume
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Slides: Characteristics of Big Data – Variety
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Slides: Characteristics of Big Data – Velocity
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Slides: Characteristics of Big Data – Veracity
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Slides: Characteristics of Big Data – Value
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Slides: Characteristics of Big Data – Valence
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1 quiz
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V for the V’s of Big Data
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2 discussion prompts
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Practice: Writing Big Data questions
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Let’s Discuss: Improving the Flamingo Game
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Module 4: Data Science : Getting value out of Big Data
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Data Science: Getting Value out of Big Data
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Building a Big Data Strategy
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How does big data science happen?: Five Components of Data Science
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Asking the Right Questions
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Steps in the Data Science Process
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Step 1: Acquiring Data
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Step 2-A: Exploring Data
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Step 2-B: Pre-Processing Data
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Step 3: Analyzing Data
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Step 4: Communicating Results
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Step 5: Turning Insights into Action
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12 readings
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Five P’s of Data Science
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Slides: Getting Value Out of Big Data
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Slides: Building a Big Data Strategy
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Slides: The Five P’s of Data Science
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Slides: Asking the Right Questions
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Slides: Steps in the Data Science Process
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Slides: Step 1 – Acquiring Data
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Slides: Step 2A-Exploring Data
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Slides: Step 2B-Preprocessing Data
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Slides: Step 3-Data Analysis
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Slides: Step 4-Communicating Results
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Slides: Step 5-Turning Insights Into Action
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1 quiz
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Data Science 101
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2 discussion prompts
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Let’s Discuss: Thinking more deeply about the Ps
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Let’s Discuss: Building a Team
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Module 5: Foundations for Big Data Systems and Programming
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Getting Started: Why worry about foundations?
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What is a Distributed File System?
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Scalable Computing over the Internet
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Programming Models for Big Data
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4 readings
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Slides: Getting Started-Why Worry About Foundations?
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Slides: What is a Distributed File System?
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Slides: Scalable Computing Over the Internet
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Slides: Programming Models for Big Data
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1 quiz
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Foundations for Big Data
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Module 6: Systems: Getting Started with Hadoop
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Hadoop: Why, Where and Who?
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The Hadoop Ecosystem: Welcome to the zoo!
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The Hadoop Distributed File System: A Storage System for Big Data
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YARN: A Resource Manager for Hadoop
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MapReduce: Simple Programming for Big Results
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When to Reconsider Hadoop?
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Cloud Computing: An Important Big Data Enabler
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Cloud Service Models: An Exploration of Choices
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Value From Hadoop and Pre-built Hadoop Images
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Copy your data into the Hadoop Distributed File System (HDFS)
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Run the WordCount program
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8 readings
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MapReduce in the Pasta Sauce Example
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Slides for Getting Started With Hadoop
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Downloading and Installing the Cloudera VM Instructions (Mac)
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Downloading and Installing the Cloudera VM Instructions (Windows)
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FAQ
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Copy your data into the Hadoop Distributed File System (HDFS) Instructions
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Run the WordCount program Instructions
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How do I figure out how to run Hadoop MapReduce programs?
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2 quizzes
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Intro to Hadoop
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Running Hadoop MapReduce Programs Quiz
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1 peer review
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Understand by Doing: MapReduce
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1 discussion prompt
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Let’s Discuss: Map Reduce in your life
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