This content originally appeared on DEV Community and was authored by intalink
In-depth Analysis of IntaLink Data Auto-Linking Platform's Product Strength!
Hidden Gem, Yuantuo Data Intelligence
September 25, 2024, 14:09, Tianjin
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1. The Goal of IntaLink
In one sentence: IntaLink's goal is to achieve automatic data linkage in the field of data integration.
Let's break down this definition:
- IntaLink's application scenario is for data integration. The simplest case is linking multiple data tables within the same system; the more complex case is linking data across heterogeneous sources.
- For data integration applications, relationships between tables need to be established.
- The data to be integrated must be able to form linkable relationships.
With the above conditions met, IntaLink’s goal is: Given the data tables and data items specified by the user, IntaLink will provide the available data linkage routes.
2. The Role of IntaLink
Let's explain the problem IntaLink solves through a specific scenario. This example is complex and requires careful consideration to understand the data relationships, which highlights IntaLink's value.
Scenario:
A university has different departments. Each department is identified by an abbreviation, and the table is defined as T_A. Sample data:
| DEPARTMENT_ID | DEPART_NAME |
|---|---|
| GEO | School of Earth Sciences |
| IT | School of Information Engineering |
Each department has several classes, and each class has a unique ID based on the enrollment year and a class number. This table is T_B. Sample data:
| CLASSES_ID | CLASSES_NAME | DEPARTMENT |
|---|---|---|
| 2020_01 | Earth Sciences Class 1 (2020) | GEO |
| 2020_02 | Earth Sciences Class 2 (2020) | GEO |
Each class has students, and each student has a unique ID. This table is T_C. Sample data:
| STUDENT_ID | STUDENT_NAME | CLASSES |
|---|---|---|
| 202000001 | Zhang San | 2020_01 |
| 202000002 | Li Si | 2020_02 |
The university offers various courses. Each course has a course code, maximum score, and credits. This table is T_D. Sample data:
| CLASS_CODE | CLASS_TITLE | FULL_SCORE | CREDIT |
|---|---|---|---|
| MATH_01 | Advanced Math I | 100 | 4 |
Different departments have different pass scores for the same course. This table is T_E. Sample data:
| DEPARTMENT | CLASS | PASS_SCORE |
|---|---|---|
| GEO | MATH_02 | 60 |
| IT | MATH_02 | 75 |
Different semesters offer different courses, and students have scores for each course. This table is T_F. Sample data:
| STUDENT_ID | TERM | CLASS | SCORE |
|---|---|---|---|
| 202000001 | 2023_1 | MATH_02 | 85 |
Based on this scenario, the requirement is to list each student’s courses for the 2023_1 semester, showing their score and the passing score. The result might look like this:
| Class | Name | Term | Course | Pass Score | Score |
|---|---|---|---|---|---|
| Earth Sciences 2020 Class 1 | Zhang San | 2023_1 | Advanced Math II | 60 | 85 |
The critical challenge lies in determining which tables to link and ensuring the relationships between tables are correctly interpreted. For example, a student is not directly linked to a department but to a class, and the class belongs to a department.
3. Problems Solved by IntaLink
You might think this is just a standard multi-table data linkage application that can be easily achieved with SQL queries. However, the real challenge is identifying which tables to use, especially when the system comprises numerous tables and fields across different applications.
For instance, imagine a university with dozens of application systems, each containing numerous tables. A non-IT personnel requesting data might not know which table contains the required data. IntaLink automatically generates the necessary links between the data tables, reducing the complexity of data analysis and saving significant development time.
Conclusion
IntaLink solves the following key challenges:
- No need to understand underlying business logic—just focus on the data integration goal.
- No need to manually identify which tables to link—IntaLink determines the relationships.
- Significantly reduces the time spent on data analysis and development, enhancing efficiency by over 10 times.
Join the IntaLink Community!
We would love for you to be a part of the IntaLink journey! Connect with us and contribute to our project:
🔗 GitHub Repository: IntaLink
💬 Join our Discord Community
Be a part of the open-source revolution and help us shape the future of intelligent data integration!
For business inquiries: 400-9900-579
This content originally appeared on DEV Community and was authored by intalink
intalink | Sciencx (2024-10-08T02:20:32+00:00) Transforming Data Linkage: An In-Depth Look at IntaLink. Retrieved from https://www.scien.cx/2024/10/08/transforming-data-linkage-an-in-depth-look-at-intalink/
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