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Big data processing

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- Category : Engineering > Data Analysis & Statistics
- Keyword : Big dataprocessingData processingData analysisR and Hadoop
- Taught by : ASEAN Cyber University
- Created By : University of Information Technology(Vietnam)
- Offered By : ASEAN Cyber University
- Date Added : 2021.03.10
To describe the basic concepts of big data and learn big data processing methods using R and Hadoop In particularit improves the ability to utilize big data by implementing mainly used machine learning algorithms using R and Hadoop. Understanding the basic concepts of big data processing. Understanding (R Hadoopbig data analysis methods. Appling to data analysis using big data. appling to machine learning-based data analysis using big data.

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Number of lessons: 13

차시별 강의
No	Contents Type & Play	Subject	Description	URL
1.	Type	Subject Grasping the Fundamentals of Big Data	Description To explore the history of data managementto describe the characteristics of big data and to explain the different types of big data. The Evolution of Data Management Big Data Characteristics Examining Big Data Types	Url URL
2.	Type	Subject Big Data Adoption and Planning Considerations	Description To demonstrate things to consider when adopting big datato explain how to construct big data management system and to demonstrate things to consider when adopting big data. Business and IT Needs Big Data Management System Big Data Analytics Lifecycle	Url URL
3.	Type	Subject Big Data Storage Concepts and Technology	Description To explain the fundamental storage concepts for big datato explore the use of on-disk storage devices for big data and to explore the use of in-memory storage devices for big data. Fundamental Storage Concepts On-Disk Storage Devices In-Memory Storage Devices	Url URL
4.	Type	Subject Big Data Processing Concepts	Description To explain the basic conceptsofbig data processingto express how big data process in batch mode and to explore the process of big data in real-time mode. Understanding Data Processing Concepts Processing in Batch Mode Processing in Real-time Mode	Url URL
5.	Type	Subject Big Data Analysis Techniques	Description To explain the fundamentals ofbig data analysisto express the importance of statistical analysis and to explain both semantic and visual analysis. Basic Concepts ofData Analysis Statistical Analysis and Machine Learning Semantic and Visual Analysis	Url URL
6.	Type	Subject Business Intelligent and Big Data Analysis Tools	Description To discuss about data analysisto explain what big data tools and categories are and to discuss types of BI and data visualization for big data. Data Analysisand Types of Data Analysis Big data tools categories Understanding Big Data Tools	Url URL
7.	Type	Subject Getting Started with R and Hadoop	Description To discuss Hadoop’s core architectureto introduce how to startup R Language and R Studio and to explain the fundamentals of R language. Features and core architecture of Hadoop Startup R Language Working with Big Data in R	Url URL
9.	Type	Subject Writing Hadoop MapReduce Programs	Description To introduce Hadoop’s related projectsto explain the concepts of Hadoop MapReduce program and to explain MapReduce example program and the steps how to run it. Hadoop’s related projects Concepts of Hadoop MapReduce Program Understanding Data Transformations	Url URL
10.	Type	Subject Integrating R and Hadoop	Description To introduce R and Hadoop Integration methodsto introduce RHIPEand its architecture and to introduce RHadoop and its architecture. R and Hadoop Integration Methods Understanding RHIPE overview and its architecture Installing RHadoop	Url URL
11.	Type	Subject Understanding the data analytics	Description To explain the data analytics project life cycleto explain data analysis methods for specific topics using R and Hadoop and to use how to solve web pages categorization using R and Hadoop. Understanding the data analytics project life cycle Understanding data analytics Data analytics exercise using R and Hadoop	Url URL
12.	Type	Subject Learning Data Analytics with R and Hadoop	Description To explain data analysis methods for specific topics using R and Hadoop and data analysis methods for specific topics using R and Hadoopto learn how to solve “Computing the frequency of stock market changeusing R and Hadoopand to learn how to solve “Text mining and word clouds generationusing R and Hadoop. Computing the frequency of stock market change Text mining and word clouds Data analytics exercise using R and Hadoop	Url URL
13.	Type	Subject Understanding Big data analysis with Machine learning Ⅰ	Description To explain the Supervised machine-learning algorithmsto explain data analysis methods for specific topics using R and Hadoopto learn how to solve linear regressionproblems with R and Hadoop. Supervised machine-learning algorithms Linear regression with R and Hadoop Data analytics exercise using R and Hadoop	Url URL
14.	Type	Subject Understanding Big data analysis with Machine learning Ⅱ	Description To explain the Supervised machine-learning algorithmsto explain data analysis methods for specific topics using R and Hadoopto learn how to solve linear regressionproblems with R and Hadoop. Supervised machine-learning algorithms Linear regression with R and Hadoop Data analytics exercise using R and Hadoop	Url URL