With MySQL, customer resource management is under control

MySQL is very suitable for supporting customer resource management (CRM) systems on the website. It is already an integral part of many Web sites, and its price level is also unmatched. In addition, a considerable amount of CRM data may already exist in dynamic websites.
As an SAP implementation team administrator at a telephone company, I gradually became proficient in its superior CRM toolkit. I have learned that about 90% of the jobs in CRM are System Configuration implementation and maintenance to meet the changing requirements of users. A crm developer must be proficient in the process and structure design. Now let's discuss the process you need to go through when using MySQL to create an upgradeable high-performance CRM system.
Design a CRM solution for MySQL
The CRM database is very complex: Your User table is linked to your contact method table, and the latter is linked to your address and organization table, these two tables are linked to your transaction table, and this transaction table is linked to your directory table, and so on. For some relationships, you need to create complex composite indexes. For other relationships, you may only need simple indexes, or you do not need them at all. Updates and deletions in your implementation may or may not be stacked.
This means that you need to be extremely familiar with the adjustment methods available in MySQL. But before you can make adjustments, you need to design a CRM process that relies on it to take advantage of these adjustments.
Logic and Data Stream
As you can see in Figure A, you can use the MyISAM table as the source of the report type data. This is very useful, because when you simply query the database, the ISAM table will be a lightning fast data source. The disadvantage of ISAM is that the table file itself may crash, and updating its data can easily lead to such problems.

Figure

Data Flow designed for CRM

To solve the ISAM instability, you can use the InnoDB table to add, update, and delete records in the data table. The InnoDB engine is transactional, so if the update fails, the data will be returned to the status before the change. InnoDB is more complete in reference, so that data updates do not violate any relational rules between tables.
What is not shown in the above chart is that you should back up your data at any time. In this case, the ISAM table stores valuable data. These tables are what you should back up. You can obtain the same data in the InnoDB table, but the ISAM table is more suitable for querying the backup process.
The recovery operations on InnoDB tables are also for the same reason-they are more suitable for updates (such as reference integrity, speed, stability, and so on ), and they will be automatically synchronized with any operations to be added/updated. If the InnoDB table crashes, you can use ISAM data to recreate the table, which is the best reason for splitting the process like this. After all, redundancy is equivalent to security.