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TitleBig Data Trainer (EST-2016)2020-09-21 17:40:21
Writer Level 10
AttachmentEST-2016배경편집 수정.png (158.6KB)

Big Data Trainer 



EST-2016




 


 


• An analysis of the Big Data of the Core Technology of the Fourth Industrial Revolution 

- Configure to practice of various data analysis tools from the basic concept of big data gradationally
- Provide a practical environment to build clusters and quickly analyze large data using the open platform Hadoop
- Provide a curriculum that allows you to practice the functions of the Hadoop Eco System (Hive, HBase, Zookeeper, etc.)


 • Big Data Practice based on Open Source

- Provide detailed guides for installing and testing essential programs necessary for big data analysis 
  such as open source-based Hadoop and Python from the installation of the operating system (Linux)

-Configure Hadoop clusters that can collect data from the data source and store it stably in the 
 Hadoop file system

- RDBMS interworking function practice that loads data into Hadoop or saves the processing result in RDBMS

- Loading data stored in Hadoop clusters using R and Hadoop to practice various visualization techniques of R

 


 



 


 



    

 

[Big Data Outline]


• Big Data Concepts and Characteristics
• Big Data Application Cases


[Building a Hadoop cluster]


• Hadoop Overview and Features
• Hadoop System Structure
• Installing the operating system (OS)
• Save, inquire, and delete Hadoop cluster data


[R for data analysis and visualization]


• Installation and configuration of RStudio
• Rprogramming foundation
• Install and set up Rhadoop for Hadoop
• cluster interlocking


[Structured Data Analysis and Visualization]


• Time analysis and visualization using R
• Distribution analysis and visualization using R
• Relationship analysis and visualization using R
• Comparative analysis and visualization using R
• Spatial analysis and visualization using R



[Unstructured Data Analysis and Visualization]


• Understanding and installing test mining packages
• Analyzing and visualizing word frequency using R
• Word relation analysis and visualization using R
• A word emotion analysis and visualization using R



[Supercomputer Practice]


• Supercomputer overview
• Supercomputer practice environment configuration
• Comparison of the processing speed of
  supercomputers using distributed processing
  systems
 
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-Big Data Trainer (EST-2016) Level 102020-09-21
NextArtificial Intelligence(AI) Trainer (EST-2011) Level 102020-09-21