Database

Centralize your data

Data visualization becomes possible, allowing you to visually understand data trends and past trends, quickly identifying trends and issues, and considering improvement measures.

Development scope
MySQL PostgreSQL
MariaDB Oracle Database
IBM DB2 Web Database

Our strengths

Optimal database design

After carefully hearing about the purpose and data output method, and considering how to use it, we will design the optimal database.

Compatible with big data

At our company, when storing large amounts of data of 10,000 records or more, we design indexes and perform performance designs that do not reduce data access speed.

Process
  • 01 Do conceptual design

    Start by clarifying what kind of data you want to manage and how. Next, identify the "tables in the database". Finally, create a blueprint "ER diagram" that shows the relationships between tables.

    Consultation
  • 02 Convert ER diagram to RDB table

    Decide what type of database you want to create and create the tables accordingly. Construct a table that can realize the requirements on the database based on the ER diagram. For example, clearly define what columns and keys each table has.

  • 03 Data normalization

    In addition to removing and organizing redundant data, we format the data so that operations such as adding and updating data can be performed smoothly and consistently.

  • 04 Check performance requirements

    Check the performance requirements needed to make the database fully operational, such as "How much data can be added to the database on a regular basis?" and "How many users can access it at the same time?" .

  • 05 Create an index

    Indexes allow you to quickly identify where the data you want to search is stored, making database processing faster.

  • 06 Decide on data storage area

    Secure enough data area to store the amount of data confirmed by performance requirements, and finally decide on hardware specifications and file placement on the hardware.

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