Extreme Ultradev - E-Commmerce Database Design Part II Rick Curtis E-commerce Database Design - Part II This is the second installment in an explanation of Database Design for Ultradev E-commerce application developers. It's based on my database experience (and all the mistakes I made along the way) with building E-commerce apps in Drumbeat 2000. I hope it's helpful
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50 Open Source Tools to Make Your Life Easier The open source community is vibrant, continually growing, and just loves to create applications and tools to make lives easier. Here are 50 of our favorite open source apps that help us do everything from managing pictures on our computer to learning about Jupiter and Mars. Chandler – An information management application for personal use or small group collaboration.
The meaning of all the different meta tags & how to use them <title>relevant and attractive phrase </title> The title is the first (usually click-able) phrase you see as a search result. Click here for more information >> <meta name="description" content="text"> A description of your website in 3 of 4 sentences. Click here for more information >> <meta name="keywords" content="words"> The keywords are the most important words u use on 1 specific page. Click here for more information >> Entity–relationship model An entity–relationship diagram using Chen's notation In software engineering, an entity–relationship model (ER model) is a data model for describing the data or information aspects of a business domain or its process requirements, in an abstract way that lends itself to ultimately being implemented in a database such as a relational database. The main components of ER models are entities (things) and the relationships that can exist among them.
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Data Modeling 101 The goals of this article are to overview fundamental data modeling skills that all developers should have, skills that can be applied on both traditional projects that take a serial approach to agile projects that take an evolutionary approach. My personal philosophy is that every IT professional should have a basic understanding of data modeling. They don’t need to be experts at data modeling, but they should be prepared to be involved in the creation of such a model, be able to read an existing data model, understand when and when not to create a data model, and appreciate fundamental data design techniques.