Yonsei - Big Data Emerging Technologies
- Offered byCoursera
Big Data Emerging Technologies at Coursera Overview
Duration | 30 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Big Data Emerging Technologies at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 4 in the Emerging Technologies: From Smartphones to IoT to Big Data Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 30 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Big Data Emerging Technologies at Coursera Course details
- 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!
Big Data Emerging Technologies at Coursera Curriculum
Big Data Rankings & Products
Introduction
1.1 Big Data Market Analysis
1.2 IBM / 1.3 SAP
1.4 Oracle / 1.5 Splunk / 1.6 Accenture / 1.7 Dell / 1.8 Teradata
1.9 Microsoft / 1.10 Cisco / 1.11 AWS
1.12 Big Data Landscape
Ungraded Quiz
Graded Quiz
Big Data & Hadoop
2.1 Big Data in Action / 2.2 Big Data Characteristics
2.3 Big Data's 4 Vs / 2.4 How is Big Data being Used?
2.5 HADOOP
2.6 MapReduce vs. RDBMS
2.7 MapReduce
2.8 Hadoop vs. SQL(RDBMS & RDSMS)
2.9 HDFS Enhancements
2.10 Hadoop vs. Hadoop YARN
Ungraded Quiz
Graded Quiz
Spark
3.1 Apache Spark
3.2 Spark Architecture / 3.3 Spark Family
3.4 Spark vs. Hadoop
3.5 Spark RDD
3.6 Spark Transformations / 3.7 Spark Actions / 3.8 Spark DAG
3.9 Spark Programming
3.10 Spark Core / 3.11 Spark Variables & Serialization
3.12 Spark Cluster Operations / 3.13 Spark Standalone / 3.14 Spark Mesos
3.15 Spark YARN
3.16 Spark SQL / 3.17 Spark GraphX
3.18 Relational DB & Graph DB
Ungraded Quiz
Graded Quiz
Spark ML & Streaming
4.1 Spark ML(Machine Learning)
4.2 Spark ML Algorithms part 1
4.2 Spark ML Algorithms part 2
4.3 Spark Streaming
Ungraded Quiz
Graded Quiz
Storm
5.1 Apache Storm
5.2 Storm Applications
5.3 Storm Spouts & Streams
5.4 Storm Topology & Management
5.5 Storm Trident
Ungraded Quiz
Graded Quiz
IBM SPSS Statistics Project
6.1 IBM SPSS Statistics Project
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