Graph Databases for Business Analytics

  • TTDT09
  • Classroom
  • Fundamental
  • Thai
AI & Data Technology

เรียนรู้ระบบจัดการฐานข้อมูลกราฟ (Graph Database) โดยใช้เครื่องมือที่ชื่อว่า Neo4j สำหรับส่งเสริมการดำเนินการที่รวดเร็ว จัดสรรเนื้อที่การจัดเก็บข้อมูล และการเชื่อมต่อความสัมพันธ์ระหว่างข้อมูล

Course description

Days :
3 Day(s)
Duration :
18 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
17-19 May 2023
Status :
Open Register
Name :
Asst. Prof. Dr.Walisa Romsaiyud

Language :
Venue :
Software Park Training Room 3rd floor, Software Park Building Chaengwattana Road, Pakkred
Type :
Graph Databases for Business Analytics

In this course provides students with the knowledge and skills to implement/management a Neo4j graph database in a big data environment. The course focuses on teaching individuals how to apply graph theory and NoSQL in Neo4j, query data with Cypher Query Language (CQL), build a graph database application, plan and implement a graph database solution with machine learning techniques.

This course is designed for an IT professional or developer who wants to get started in the field of graph databases. Anyone with prior experience with SQL in the relational database world will very quickly feel at ease with Neo4j. To get the most out of the course, you should be somewhat familiar with SQL and Python. Prior exposure to any of these concepts will be helpful, but not required.


Module 1: Introducing Neo4j

  • What is a big data?
  • What is a graph database?
  • What are graph analytics and algorithms?
  • Graph analytics use case

Module 2: Understanding NoSQL databases

  • Key-Value stores
  • Column-family stores
  • Document stores
  • Graph stores

Module 3: Getting started with Neo4j

  • Overview of Neo4j components
  • Neo4j Environment Setup
  • Building a project with Neo4j


Module 4: Understanding Cypher Query Language

  • What is Cypher?
  • Syntax
  • Clauses
  • Functions
  • Schema
  • Query tuning

Module 5: Creating a graph model

  • Creating nodes
  • Creating properties
  • Creating relationships

Module 6: Importing data into Neo4j

  • Importing using Load CSV
  • Importing data from XML
  • Importing data from JSON
  • Converting data from existing databases


Module 7: Use case example: Social network

  • Creating a graph model
  • Importing data
  • Analyzing data

Module 8: Use case example: Link analysis

  • Creating a graph model
  • Importing data
  • Analyzing data

Module 9: Visualizations for Neo4j

  • Graph visualizations
  • Visualizations liberties
  • Integrating visualization libraries in the application

Payment can be made by:

1. Cash or Credit Card or Bank Cheque payable to "สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ" (a post-dated cheque is not accepted) on the first day of the service or within the last day of the service.
2. Account transfer and send the proof of the payment (the deposit slip) via email

2.1 ธนาคารกรุงเทพ สาขาอุทยานวิทยาศาสตร์
Saving Account Number: 080-0-00001-0
Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ

2.2 ธนาคารกรุงไทย สาขาตลาดไท
Saving Account Number: 152-1-32668-1
Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ

- Withholding tax (3%) is exempt.
- Should you need to withdraw, you must send the notice of the withdrawal in writing no later than 7 working days before the commencement date. The cancellation less than 7 days will be subject to a fine of 40% of the fee.
- Software Park Thailand reserves the rights to cancel courses due to unforeseen circumstances.

Contact Person

For more information, contact our course coordinator on:

คุณภัสสร พรทิพย์

Ms. Patsorn Pornthip

Tel: 02583-9992 Ext. 81422

Mobile: 088-893-5564,

You are encouraged to use the course schedule as a guide to plan your training. The schedule is accessible at for more information.

12,000 THB .

สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน

Enroll now

Course Detail :
Days :
3 Day(s)
Duration :
18 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
17-19 May 2023
Status :
Open Register

Instructor info
Asst. Prof. Dr.Walisa Romsaiyud