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Emerging Technologies in Data Modeling and Management


KKU

About This Course

The professional training course focuses on emerging databases and technologies suitable for managing different types and characteristics of data. The course covers major categories of NoSQL data management systems including key-value and document models, which are increasing in popularity due to the growth of non-relational data and data-driven/data-intensive applications, and the capabilities of NoSQL databases to solve problems relational databases cannot handle effectively. The course explores the importance and applications of NoSQL databases, the classification of the databases and how to use them in real-world scenarios.

On successful completion of the training course, the training professionals will be able to:

  • Describe the differences between relational and NoSQL databases.
  • Design and organize various types of data using key-value and document models.
  • Identify, implement, and perform frequent data operations (i.e., CRUD: create, read, update, and delete) on key-value and document model systems.
  • Solve practical data modeling and management problems using key-value / document models.
  • Explain basic database administration, physical design, and performance tuning of the data stores.

Requirements

Basic knowledge of relational database modeling and SQL.

Training Dates

June 11-13, 2021, 8:45 AM - 16:30 PM.

Training Methods

100% online technical hands-on training and workshop with practical tools, running the given examples, practicing on exercises and business use cases to design, create databases, load, and query data.

Course Staff

Course Staff Image #1

Asst.Prof. Monlica Wattana

Assistant professor in Information Technology, Department of Computer Science, Khon Kaen University

Monlica Wattana is an instructor at Khon Kaen University who teaches database analysis and design, device mobile programming, web application programming, and image processing technology. Her research interest focuses on image processing technology.

Course Staff Image #2

Warunya Wunnasri, Ph.D.

Lecturer in Information Technology, Department of Computer Science, Khon Kaen University

Warunya Wunnasri is an instructor at Khon Kaen University who researches learning engineering, text mining and is interested in data engineering technology.

Course Staff Image #3

Asst.Prof. Chitsutha Soomlek

Assistant Professor in Computer Science, Department of Computer Science, Khon Kaen University

Chitsutha Soomlek is an assistant professor at the Department of Computer Science, Khon Kaen University, Thailand. Her research interests are in intelligent agent, multi-agent systems, computational intelligence for software engineering and secure software development, code smells, and software quality.

Course Staff Image #3

Mr. Worapoj Suwanpipob (TA)

Ph.D student at the Department of Computer Science, Khon Kaen University

Course Staff Image #3

Mr. Panuwat Yeesunsorn (TA)

Student at the Department of Computer Science, Khon Kaen University

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