SQL Server big data processing-tutorial

The original data structure is 12 databases. Each database has 100 tables, which are stored in clusters of QQ groups. I create a new structure and generate a new relational table, it is estimated to be 1.4 billion million data records (which may not be reached). I want to determine the size of the QQ number to insert different databases and tables, with 15 databases, 100 tables per database ,...

The original data structure is 12 databases. Each database has 100 tables, which are stored in clusters of QQ groups.

I made a new structure to generate a new relational table, which is expected to be 1.4 billion pieces of data (which may not be reached). I want to determine the size of the QQ number to insert different databases and tables, respectively, there are 15 databases, 100 tables in each database, a total of 1500 tables, 1 million data records in each table, the table has been generated (), and now the data is inserted, I used PHP yesterday to process a table. It took nearly 15 minutes to run. This is too slow. Is there any better way?
This is the program we made yesterday. Which of the following experts gave me some advice and optimized it. The experts helped me with the job I just got started with. On the third day, I couldn't help but leave.

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The original data structure is 12 databases. Each database has 100 tables, which are stored in clusters of QQ groups.

I made a new structure to generate a new relational table, which is expected to be 1.4 billion pieces of data (which may not be reached). I want to determine the size of the QQ number to insert different databases and tables, respectively, there are 15 databases, 100 tables in each database, a total of 1500 tables, 1 million data records in each table, the table has been generated (), and now the data is inserted, I used PHP yesterday to process a table. It took nearly 15 minutes to run. This is too slow. Is there any better way?
This is the program we made yesterday. Which of the following experts gave me some advice and optimized it. The experts helped me with the job I just got started with. On the third day, I couldn't help but leave.