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Big Data Emerging Technologies
  • Level Foundation
  • Duration 30 hours
  • Course by Yonsei University
  • Offered by

About

Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world's industry market share rankings of big data hardware, software, and professional services, and then covers the world's top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world's most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!

Modules

Introduction

    • 1 Videos
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1 Videos

  • Introduction

1.1 Big Data Market Analysis

    • 1 Videos
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1 Videos

  • 1.1 Big Data Market Analysis

1.2 ~ 1.3 IBM / SAP

    • 1 Videos
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1 Videos

  • 1.2 IBM / 1.3 SAP

1.4 ~ 1.8 Oracle / Splunk / Accenture / Dell / Teradata

    • 1 Videos
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1 Videos

  • 1.4 Oracle / 1.5 Splunk / 1.6 Accenture / 1.7 Dell / 1.8 Teradata

1.9 ~ 1.11 Microsoft / Cisco / AWS

    • 1 Videos
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1 Videos

  • 1.9 Microsoft / 1.10 Cisco / 1.11 AWS

1.12 Big Data Landscape

    • 1 Videos
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1 Videos

  • 1.12 Big Data Landscape

Quiz

    • 2 Assignment
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2 Assignment

  • Ungraded Quiz
  • Graded Quiz

2.1 ~ 2.2 Big Data in Action / Big Data Characteristics

    • 1 Videos
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1 Videos

  • 2.1 Big Data in Action / 2.2 Big Data Characteristics

2.3 ~ 2.4 Big Data's 4 Vs / How is Big Data being Used?

    • 1 Videos
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1 Videos

  • 2.3 Big Data's 4 Vs / 2.4 How is Big Data being Used?

2.5 HADOOP

    • 1 Videos
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1 Videos

  • 2.5 HADOOP

2.6 MapReduce vs. RDBMS

    • 1 Videos
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1 Videos

  • 2.6 MapReduce vs. RDBMS

2.7 MapReduce

    • 1 Videos
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1 Videos

  • 2.7 MapReduce

2.8 Hadoop vs. SQL(RDBMS & RDSMS)

    • 1 Videos
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1 Videos

  • 2.8 Hadoop vs. SQL(RDBMS & RDSMS)

2.9 HDFS Enhancements

    • 1 Videos
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1 Videos

  • 2.9 HDFS Enhancements

2.10 Hadoop vs. Hadoop YARN

    • 1 Videos
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1 Videos

  • 2.10 Hadoop vs. Hadoop YARN

Quiz

    • 2 Assignment
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2 Assignment

  • Ungraded Quiz
  • Graded Quiz

3.1 Apache Spark

    • 1 Videos
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1 Videos

  • 3.1 Apache Spark

3.2 ~ 3.3 Spark Architecture / Spark Family

    • 1 Videos
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1 Videos

  • 3.2 Spark Architecture / 3.3 Spark Family

3.4 Spark vs. Hadoop

    • 1 Videos
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1 Videos

  • 3.4 Spark vs. Hadoop

3.5 Spark RDD

    • 1 Videos
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1 Videos

  • 3.5 Spark RDD

3.6 ~ 3.8 Spark Transformations / Spark Actions / Spark DAG

    • 1 Videos
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1 Videos

  • 3.6 Spark Transformations / 3.7 Spark Actions / 3.8 Spark DAG

3.9 Spark Programming

    • 1 Videos
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1 Videos

  • 3.9 Spark Programming

3.10 ~ 3.11 Spark Core / Spark Variables & Serialization

    • 1 Videos
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1 Videos

  • 3.10 Spark Core / 3.11 Spark Variables & Serialization

3.12 ~ 3.14 Spark Cluster Operations / Spark Standalone / Spark Mesos

    • 1 Videos
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1 Videos

  • 3.12 Spark Cluster Operations / 3.13 Spark Standalone / 3.14 Spark Mesos

3.15 Spark YARN

    • 1 Videos
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1 Videos

  • 3.15 Spark YARN

3.16 ~ 3.17 Spark SQL / Spark GraphX

    • 1 Videos
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1 Videos

  • 3.16 Spark SQL / 3.17 Spark GraphX

3.18 Relational DB & Graph DB

    • 1 Videos
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1 Videos

  • 3.18 Relational DB & Graph DB

Quiz

    • 2 Assignment
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2 Assignment

  • Ungraded Quiz
  • Graded Quiz

4.1 Spark ML(Machine Learning)

    • 1 Videos
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1 Videos

  • 4.1 Spark ML(Machine Learning)

4.2 Spark ML Algorithms part 1 / part 2

    • 2 Videos
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2 Videos

  • 4.2 Spark ML Algorithms part 1
  • 4.2 Spark ML Algorithms part 2

4.3 Spark Streaming

    • 1 Videos
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1 Videos

  • 4.3 Spark Streaming

Untitled Lesson

    • 2 Assignment
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2 Assignment

  • Ungraded Quiz
  • Graded Quiz

5.1 Apache Storm

    • 1 Videos
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1 Videos

  • 5.1 Apache Storm

5.2 Storm Applications

    • 1 Videos
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1 Videos

  • 5.2 Storm Applications

5.3 Storm Spouts & Streams

    • 1 Videos
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1 Videos

  • 5.3 Storm Spouts & Streams

5.4 Storm Topology & Management

    • 1 Videos
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1 Videos

  • 5.4 Storm Topology & Management

5.5 Storm Trident

    • 1 Videos
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1 Videos

  • 5.5 Storm Trident

Quiz

    • 2 Assignment
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2 Assignment

  • Ungraded Quiz
  • Graded Quiz

6.1 IBM SPSS Statistics Project

    • 1 Videos
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1 Videos

  • 6.1 IBM SPSS Statistics Project

6.2 Peer Review on Project

    • 1 PeerReview
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1 Peer Review

  • Peer Review on Project

Auto Summary

Dive into the world of Big Data with this foundational IT & Computer Science course, led by expert instructors on Coursera. Over six modules, you'll explore industry market shares, top big data products, and essential technologies like Hadoop, Spark, and Storm. Gain hands-on experience with IBM SPSS Statistics, preparing you for strategic business planning in the big data era. Perfect for professionals seeking to leverage big data for growth and survival, the course is available through Starter, Professional, and Paid subscription options. Join now and step into the future of data-driven decision-making!

Jong-Moon Chung
Instructor

Jong-Moon Chung