The Basics of NoSQL and NewSQL Big Data Management Mechanism
This course is jointly launched by Huawei and Southwest Jiaotong University. The course introduces the characteristics and application field of big data; the challenge and technological change of big data; the big data computing framework; NoSQL and NewSQL; HBase and Hive; and other important knowledge of big data management.
Course Informaction
Target Trainees
- People who want to have a good knowledge base in the field of big data;
- People who want to master the key points of NoSQL and NewSQL big data management technology.
Course Objectives
- Understand the difference between big data management and traditional data management technology;
- Master new technologies and methods of big data management;
- Able to analyze application requirements related to big data.
Completion Criteria
A total of 60 points or more in the course.
Certificate Standards
A total of 60 points or more in the course.
Frequently Asked Questions
Q: What browser should I use to study the course?
A: To ensure smooth learning, please use Google Chrome to open the course.
Course Outline
Introduction of this course
Introduction of this course
1. Introduction of big data
Chapter Overview
1.1 Big data definition and features
1.2 Understanding big data
1.3 The applications of big data
Quiz
2. Challenges of data management and processing
Chapter Overview
2.1 New technology and technique innovation
2.2 Misunderstanding of big data and challenges from big data life cycle
Quiz
3. Big data processing framework
Chapter Overview
3.1 Big data ecosystem and computation frameworks
3.2 Storm & Spark
Quiz
4. Hadoop platform and working mechanism
Chapter Overview
4.1 Hadoop working mechanism
4.2 Hadoop availability and fault tolerance
4.3 Scalability Patterns
Quiz
5. NoSQL - Old SQL
Chapter Overview
5.1 NoSQL and OldSQL
5.2 Key value storage
5.3 Wide column database
5.4 Document database
5.5 Graph database
Quiz
6. Column-oriented database — HBase
Chapter Overview
6.1 HBase data model
6.2 HBase architecture
6.3 Comparison and use case of HBase
Quiz
7. NewSQL data warehouse — Hive
Chapter Overview
7.1 Needs of NewSQL
7.2 Data warehouse and ROLAP
7.3 OLAP
7.4 Hive data warehouse modeling
7.5 Hive architecture and applications
Quiz
8. Application example of HBase and Hive
Chapter Overview
8.1 An example of HBase Application
8.2 An example of Hive Application
Quiz
Final Exam
Final Exam
Training Materials
Training Materials
Satisfaction Survey
Satisfaction Survey
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