We plan to share knowledge regarding database processing.

We have a database of a client. We want to keep their information anonymous. So we just use the general elements of the database for reference.

We currently have their Invoices table. The fields (columns) are: Invoice Number, Due date, Customer name, Government ID, Address, currency type, units, unit of measurement, description, price, tax1, subtotal, sale tax, total and notes.

We also have the clients table. The fields (columns) are: Customer name, Governement ID, Address, notes.
In addition to that, there are some unfortunate men who confront occasional failure to gain an erection, which can arise because of a range of reasons, like over alcohol intake, viagra pills excessive stress, insufficient sleep, extreme uneasiness, and increase in weight. The options chosen in the life can cause cheapest price for sildenafil continue reading these guys now damage of erectile tissue and the ED development such as smoking, drug and alcohol abuse Diabetes or high blood pressure. It is not necessary that a macho man can go harder and longer when it comes to sexual viagra online store activity. Even the pharmacists or the doctors not allow us to take this pill 15-20 minutes before starting sexual activity, with meal. viagra sale
We want to know the customers that did not buy from us this year. So we create a query that find records or rows in one table that have not related records on another table. We are working in Microsoft Excel and Microsoft Access.

We will keep updating this post soon.

Thanks for reading our blog!